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name : class-wp-date-query.php
<?php
/**
 * Class for generating SQL clauses that filter a primary query according to date.
 *
 * WP_Date_Query is a helper that allows primary query classes, such as WP_Query, to filter
 * their results by date columns, by generating `WHERE` subclauses to be attached to the
 * primary SQL query string.
 *
 * Attempting to filter by an invalid date value (eg month=13) will generate SQL that will
 * return no results. In these cases, a _doing_it_wrong() error notice is also thrown.
 * See WP_Date_Query::validate_date_values().
 *
 * @link https://developer.wordpress.org/reference/classes/wp_query/
 *
 * @since 3.7.0
 */
#[AllowDynamicProperties]
class WP_Date_Query {
	/**
	 * Array of date queries.
	 *
	 * See WP_Date_Query::__construct() for information on date query arguments.
	 *
	 * @since 3.7.0
	 * @var array
	 */
	public $queries = array();

	/**
	 * The default relation between top-level queries. Can be either 'AND' or 'OR'.
	 *
	 * @since 3.7.0
	 * @var string
	 */
	public $relation = 'AND';

	/**
	 * The column to query against. Can be changed via the query arguments.
	 *
	 * @since 3.7.0
	 * @var string
	 */
	public $column = 'post_date';

	/**
	 * The value comparison operator. Can be changed via the query arguments.
	 *
	 * @since 3.7.0
	 * @var string
	 */
	public $compare = '=';

	/**
	 * Supported time-related parameter keys.
	 *
	 * @since 4.1.0
	 * @var string[]
	 */
	public $time_keys = array( 'after', 'before', 'year', 'month', 'monthnum', 'week', 'w', 'dayofyear', 'day', 'dayofweek', 'dayofweek_iso', 'hour', 'minute', 'second' );

	/**
	 * Constructor.
	 *
	 * Time-related parameters that normally require integer values ('year', 'month', 'week', 'dayofyear', 'day',
	 * 'dayofweek', 'dayofweek_iso', 'hour', 'minute', 'second') accept arrays of integers for some values of
	 * 'compare'. When 'compare' is 'IN' or 'NOT IN', arrays are accepted; when 'compare' is 'BETWEEN' or 'NOT
	 * BETWEEN', arrays of two valid values are required. See individual argument descriptions for accepted values.
	 *
	 * @since 3.7.0
	 * @since 4.0.0 The $inclusive logic was updated to include all times within the date range.
	 * @since 4.1.0 Introduced 'dayofweek_iso' time type parameter.
	 *
	 * @param array  $date_query {
	 *     Array of date query clauses.
	 *
	 *     @type array ...$0 {
	 *         @type string $column   Optional. The column to query against. If undefined, inherits the value of
	 *                                the `$default_column` parameter. See WP_Date_Query::validate_column() and
	 *                                the {@see 'date_query_valid_columns'} filter for the list of accepted values.
	 *                                Default 'post_date'.
	 *         @type string $compare  Optional. The comparison operator. Accepts '=', '!=', '>', '>=', '<', '<=',
	 *                                'IN', 'NOT IN', 'BETWEEN', 'NOT BETWEEN'. Default '='.
	 *         @type string $relation Optional. The boolean relationship between the date queries. Accepts 'OR' or 'AND'.
	 *                                Default 'OR'.
	 *         @type array  ...$0 {
	 *             Optional. An array of first-order clause parameters, or another fully-formed date query.
	 *
	 *             @type string|array $before {
	 *                 Optional. Date to retrieve posts before. Accepts `strtotime()`-compatible string,
	 *                 or array of 'year', 'month', 'day' values.
	 *
	 *                 @type string $year  The four-digit year. Default empty. Accepts any four-digit year.
	 *                 @type string $month Optional when passing array.The month of the year.
	 *                                     Default (string:empty)|(array:1). Accepts numbers 1-12.
	 *                 @type string $day   Optional when passing array.The day of the month.
	 *                                     Default (string:empty)|(array:1). Accepts numbers 1-31.
	 *             }
	 *             @type string|array $after {
	 *                 Optional. Date to retrieve posts after. Accepts `strtotime()`-compatible string,
	 *                 or array of 'year', 'month', 'day' values.
	 *
	 *                 @type string $year  The four-digit year. Accepts any four-digit year. Default empty.
	 *                 @type string $month Optional when passing array. The month of the year. Accepts numbers 1-12.
	 *                                     Default (string:empty)|(array:12).
	 *                 @type string $day   Optional when passing array.The day of the month. Accepts numbers 1-31.
	 *                                     Default (string:empty)|(array:last day of month).
	 *             }
	 *             @type string       $column        Optional. Used to add a clause comparing a column other than
	 *                                               the column specified in the top-level `$column` parameter.
	 *                                               See WP_Date_Query::validate_column() and
	 *                                               the {@see 'date_query_valid_columns'} filter for the list
	 *                                               of accepted values. Default is the value of top-level `$column`.
	 *             @type string       $compare       Optional. The comparison operator. Accepts '=', '!=', '>', '>=',
	 *                                               '<', '<=', 'IN', 'NOT IN', 'BETWEEN', 'NOT BETWEEN'. 'IN',
	 *                                               'NOT IN', 'BETWEEN', and 'NOT BETWEEN'. Comparisons support
	 *                                               arrays in some time-related parameters. Default '='.
	 *             @type bool         $inclusive     Optional. Include results from dates specified in 'before' or
	 *                                               'after'. Default false.
	 *             @type int|int[]    $year          Optional. The four-digit year number. Accepts any four-digit year
	 *                                               or an array of years if `$compare` supports it. Default empty.
	 *             @type int|int[]    $month         Optional. The two-digit month number. Accepts numbers 1-12 or an
	 *                                               array of valid numbers if `$compare` supports it. Default empty.
	 *             @type int|int[]    $week          Optional. The week number of the year. Accepts numbers 0-53 or an
	 *                                               array of valid numbers if `$compare` supports it. Default empty.
	 *             @type int|int[]    $dayofyear     Optional. The day number of the year. Accepts numbers 1-366 or an
	 *                                               array of valid numbers if `$compare` supports it.
	 *             @type int|int[]    $day           Optional. The day of the month. Accepts numbers 1-31 or an array
	 *                                               of valid numbers if `$compare` supports it. Default empty.
	 *             @type int|int[]    $dayofweek     Optional. The day number of the week. Accepts numbers 1-7 (1 is
	 *                                               Sunday) or an array of valid numbers if `$compare` supports it.
	 *                                               Default empty.
	 *             @type int|int[]    $dayofweek_iso Optional. The day number of the week (ISO). Accepts numbers 1-7
	 *                                               (1 is Monday) or an array of valid numbers if `$compare` supports it.
	 *                                               Default empty.
	 *             @type int|int[]    $hour          Optional. The hour of the day. Accepts numbers 0-23 or an array
	 *                                               of valid numbers if `$compare` supports it. Default empty.
	 *             @type int|int[]    $minute        Optional. The minute of the hour. Accepts numbers 0-59 or an array
	 *                                               of valid numbers if `$compare` supports it. Default empty.
	 *             @type int|int[]    $second        Optional. The second of the minute. Accepts numbers 0-59 or an
	 *                                               array of valid numbers if `$compare` supports it. Default empty.
	 *         }
	 *     }
	 * }
	 * @param string $default_column Optional. Default column to query against. See WP_Date_Query::validate_column()
	 *                               and the {@see 'date_query_valid_columns'} filter for the list of accepted values.
	 *                               Default 'post_date'.
	 */
	public function __construct( $date_query, $default_column = 'post_date' ) {
		if ( empty( $date_query ) || ! is_array( $date_query ) ) {
			return;
		}

		if ( isset( $date_query['relation'] ) ) {
			$this->relation = $this->sanitize_relation( $date_query['relation'] );
		} else {
			$this->relation = 'AND';
		}

		// Support for passing time-based keys in the top level of the $date_query array.
		if ( ! isset( $date_query[0] ) ) {
			$date_query = array( $date_query );
		}

		if ( ! empty( $date_query['column'] ) ) {
			$date_query['column'] = esc_sql( $date_query['column'] );
		} else {
			$date_query['column'] = esc_sql( $default_column );
		}

		$this->column = $this->validate_column( $this->column );

		$this->compare = $this->get_compare( $date_query );

		$this->queries = $this->sanitize_query( $date_query );
	}

	/**
	 * Recursive-friendly query sanitizer.
	 *
	 * Ensures that each query-level clause has a 'relation' key, and that
	 * each first-order clause contains all the necessary keys from `$defaults`.
	 *
	 * @since 4.1.0
	 *
	 * @param array $queries
	 * @param array $parent_query
	 * @return array Sanitized queries.
	 */
	public function sanitize_query( $queries, $parent_query = null ) {
		$cleaned_query = array();

		$defaults = array(
			'column'   => 'post_date',
			'compare'  => '=',
			'relation' => 'AND',
		);

		// Numeric keys should always have array values.
		foreach ( $queries as $qkey => $qvalue ) {
			if ( is_numeric( $qkey ) && ! is_array( $qvalue ) ) {
				unset( $queries[ $qkey ] );
			}
		}

		// Each query should have a value for each default key. Inherit from the parent when possible.
		foreach ( $defaults as $dkey => $dvalue ) {
			if ( isset( $queries[ $dkey ] ) ) {
				continue;
			}

			if ( isset( $parent_query[ $dkey ] ) ) {
				$queries[ $dkey ] = $parent_query[ $dkey ];
			} else {
				$queries[ $dkey ] = $dvalue;
			}
		}

		// Validate the dates passed in the query.
		if ( $this->is_first_order_clause( $queries ) ) {
			$this->validate_date_values( $queries );
		}

		// Sanitize the relation parameter.
		$queries['relation'] = $this->sanitize_relation( $queries['relation'] );

		foreach ( $queries as $key => $q ) {
			if ( ! is_array( $q ) || in_array( $key, $this->time_keys, true ) ) {
				// This is a first-order query. Trust the values and sanitize when building SQL.
				$cleaned_query[ $key ] = $q;
			} else {
				// Any array without a time key is another query, so we recurse.
				$cleaned_query[] = $this->sanitize_query( $q, $queries );
			}
		}

		return $cleaned_query;
	}

	/**
	 * Determines whether this is a first-order clause.
	 *
	 * Checks to see if the current clause has any time-related keys.
	 * If so, it's first-order.
	 *
	 * @since 4.1.0
	 *
	 * @param array $query Query clause.
	 * @return bool True if this is a first-order clause.
	 */
	protected function is_first_order_clause( $query ) {
		$time_keys = array_intersect( $this->time_keys, array_keys( $query ) );
		return ! empty( $time_keys );
	}

	/**
	 * Determines and validates what comparison operator to use.
	 *
	 * @since 3.7.0
	 *
	 * @param array $query A date query or a date subquery.
	 * @return string The comparison operator.
	 */
	public function get_compare( $query ) {
		if ( ! empty( $query['compare'] )
			&& in_array( $query['compare'], array( '=', '!=', '>', '>=', '<', '<=', 'IN', 'NOT IN', 'BETWEEN', 'NOT BETWEEN' ), true )
		) {
			return strtoupper( $query['compare'] );
		}

		return $this->compare;
	}

	/**
	 * Validates the given date_query values and triggers errors if something is not valid.
	 *
	 * Note that date queries with invalid date ranges are allowed to
	 * continue (though of course no items will be found for impossible dates).
	 * This method only generates debug notices for these cases.
	 *
	 * @since 4.1.0
	 *
	 * @param array $date_query The date_query array.
	 * @return bool True if all values in the query are valid, false if one or more fail.
	 */
	public function validate_date_values( $date_query = array() ) {
		if ( empty( $date_query ) ) {
			return false;
		}

		$valid = true;

		/*
		 * Validate 'before' and 'after' up front, then let the
		 * validation routine continue to be sure that all invalid
		 * values generate errors too.
		 */
		if ( array_key_exists( 'before', $date_query ) && is_array( $date_query['before'] ) ) {
			$valid = $this->validate_date_values( $date_query['before'] );
		}

		if ( array_key_exists( 'after', $date_query ) && is_array( $date_query['after'] ) ) {
			$valid = $this->validate_date_values( $date_query['after'] );
		}

		// Array containing all min-max checks.
		$min_max_checks = array();

		// Days per year.
		if ( array_key_exists( 'year', $date_query ) ) {
			/*
			 * If a year exists in the date query, we can use it to get the days.
			 * If multiple years are provided (as in a BETWEEN), use the first one.
			 */
			if ( is_array( $date_query['year'] ) ) {
				$_year = reset( $date_query['year'] );
			} else {
				$_year = $date_query['year'];
			}

			$max_days_of_year = gmdate( 'z', mktime( 0, 0, 0, 12, 31, $_year ) ) + 1;
		} else {
			// Otherwise we use the max of 366 (leap-year).
			$max_days_of_year = 366;
		}

		$min_max_checks['dayofyear'] = array(
			'min' => 1,
			'max' => $max_days_of_year,
		);

		// Days per week.
		$min_max_checks['dayofweek'] = array(
			'min' => 1,
			'max' => 7,
		);

		// Days per week.
		$min_max_checks['dayofweek_iso'] = array(
			'min' => 1,
			'max' => 7,
		);

		// Months per year.
		$min_max_checks['month'] = array(
			'min' => 1,
			'max' => 12,
		);

		// Weeks per year.
		if ( isset( $_year ) ) {
			/*
			 * If we have a specific year, use it to calculate number of weeks.
			 * Note: the number of weeks in a year is the date in which Dec 28 appears.
			 */
			$week_count = gmdate( 'W', mktime( 0, 0, 0, 12, 28, $_year ) );

		} else {
			// Otherwise set the week-count to a maximum of 53.
			$week_count = 53;
		}

		$min_max_checks['week'] = array(
			'min' => 1,
			'max' => $week_count,
		);

		// Days per month.
		$min_max_checks['day'] = array(
			'min' => 1,
			'max' => 31,
		);

		// Hours per day.
		$min_max_checks['hour'] = array(
			'min' => 0,
			'max' => 23,
		);

		// Minutes per hour.
		$min_max_checks['minute'] = array(
			'min' => 0,
			'max' => 59,
		);

		// Seconds per minute.
		$min_max_checks['second'] = array(
			'min' => 0,
			'max' => 59,
		);

		// Concatenate and throw a notice for each invalid value.
		foreach ( $min_max_checks as $key => $check ) {
			if ( ! array_key_exists( $key, $date_query ) ) {
				continue;
			}

			// Throw a notice for each failing value.
			foreach ( (array) $date_query[ $key ] as $_value ) {
				$is_between = $_value >= $check['min'] && $_value <= $check['max'];

				if ( ! is_numeric( $_value ) || ! $is_between ) {
					$error = sprintf(
						/* translators: Date query invalid date message. 1: Invalid value, 2: Type of value, 3: Minimum valid value, 4: Maximum valid value. */
						__( 'Invalid value %1$s for %2$s. Expected value should be between %3$s and %4$s.' ),
						'<code>' . esc_html( $_value ) . '</code>',
						'<code>' . esc_html( $key ) . '</code>',
						'<code>' . esc_html( $check['min'] ) . '</code>',
						'<code>' . esc_html( $check['max'] ) . '</code>'
					);

					_doing_it_wrong( __CLASS__, $error, '4.1.0' );

					$valid = false;
				}
			}
		}

		// If we already have invalid date messages, don't bother running through checkdate().
		if ( ! $valid ) {
			return $valid;
		}

		$day_month_year_error_msg = '';

		$day_exists   = array_key_exists( 'day', $date_query ) && is_numeric( $date_query['day'] );
		$month_exists = array_key_exists( 'month', $date_query ) && is_numeric( $date_query['month'] );
		$year_exists  = array_key_exists( 'year', $date_query ) && is_numeric( $date_query['year'] );

		if ( $day_exists && $month_exists && $year_exists ) {
			// 1. Checking day, month, year combination.
			if ( ! wp_checkdate( $date_query['month'], $date_query['day'], $date_query['year'], sprintf( '%s-%s-%s', $date_query['year'], $date_query['month'], $date_query['day'] ) ) ) {
				$day_month_year_error_msg = sprintf(
					/* translators: 1: Year, 2: Month, 3: Day of month. */
					__( 'The following values do not describe a valid date: year %1$s, month %2$s, day %3$s.' ),
					'<code>' . esc_html( $date_query['year'] ) . '</code>',
					'<code>' . esc_html( $date_query['month'] ) . '</code>',
					'<code>' . esc_html( $date_query['day'] ) . '</code>'
				);

				$valid = false;
			}
		} elseif ( $day_exists && $month_exists ) {
			/*
			 * 2. checking day, month combination
			 * We use 2012 because, as a leap year, it's the most permissive.
			 */
			if ( ! wp_checkdate( $date_query['month'], $date_query['day'], 2012, sprintf( '2012-%s-%s', $date_query['month'], $date_query['day'] ) ) ) {
				$day_month_year_error_msg = sprintf(
					/* translators: 1: Month, 2: Day of month. */
					__( 'The following values do not describe a valid date: month %1$s, day %2$s.' ),
					'<code>' . esc_html( $date_query['month'] ) . '</code>',
					'<code>' . esc_html( $date_query['day'] ) . '</code>'
				);

				$valid = false;
			}
		}

		if ( ! empty( $day_month_year_error_msg ) ) {
			_doing_it_wrong( __CLASS__, $day_month_year_error_msg, '4.1.0' );
		}

		return $valid;
	}

	/**
	 * Validates a column name parameter.
	 *
	 * Column names without a table prefix (like 'post_date') are checked against a list of
	 * allowed and known tables, and then, if found, have a table prefix (such as 'wp_posts.')
	 * prepended. Prefixed column names (such as 'wp_posts.post_date') bypass this allowed
	 * check, and are only sanitized to remove illegal characters.
	 *
	 * @since 3.7.0
	 *
	 * @global wpdb $wpdb WordPress database abstraction object.
	 *
	 * @param string $column The user-supplied column name.
	 * @return string A validated column name value.
	 */
	public function validate_column( $column ) {
		global $wpdb;

		$valid_columns = array(
			'post_date',
			'post_date_gmt',
			'post_modified',
			'post_modified_gmt',
			'comment_date',
			'comment_date_gmt',
			'user_registered',
			'registered',
			'last_updated',
		);

		// Attempt to detect a table prefix.
		if ( ! str_contains( $column, '.' ) ) {
			/**
			 * Filters the list of valid date query columns.
			 *
			 * @since 3.7.0
			 * @since 4.1.0 Added 'user_registered' to the default recognized columns.
			 * @since 4.6.0 Added 'registered' and 'last_updated' to the default recognized columns.
			 *
			 * @param string[] $valid_columns An array of valid date query columns. Defaults
			 *                                are 'post_date', 'post_date_gmt', 'post_modified',
			 *                                'post_modified_gmt', 'comment_date', 'comment_date_gmt',
			 *                                'user_registered', 'registered', 'last_updated'.
			 */
			if ( ! in_array( $column, apply_filters( 'date_query_valid_columns', $valid_columns ), true ) ) {
				$column = 'post_date';
			}

			$known_columns = array(
				$wpdb->posts    => array(
					'post_date',
					'post_date_gmt',
					'post_modified',
					'post_modified_gmt',
				),
				$wpdb->comments => array(
					'comment_date',
					'comment_date_gmt',
				),
				$wpdb->users    => array(
					'user_registered',
				),
				$wpdb->blogs    => array(
					'registered',
					'last_updated',
				),
			);

			// If it's a known column name, add the appropriate table prefix.
			foreach ( $known_columns as $table_name => $table_columns ) {
				if ( in_array( $column, $table_columns, true ) ) {
					$column = $table_name . '.' . $column;
					break;
				}
			}
		}

		// Remove unsafe characters.
		return preg_replace( '/[^a-zA-Z0-9_$\.]/', '', $column );
	}

	/**
	 * Generates WHERE clause to be appended to a main query.
	 *
	 * @since 3.7.0
	 *
	 * @return string MySQL WHERE clause.
	 */
	public function get_sql() {
		$sql = $this->get_sql_clauses();

		$where = $sql['where'];

		/**
		 * Filters the date query WHERE clause.
		 *
		 * @since 3.7.0
		 *
		 * @param string        $where WHERE clause of the date query.
		 * @param WP_Date_Query $query The WP_Date_Query instance.
		 */
		return apply_filters( 'get_date_sql', $where, $this );
	}

	/**
	 * Generates SQL clauses to be appended to a main query.
	 *
	 * Called by the public WP_Date_Query::get_sql(), this method is abstracted
	 * out to maintain parity with the other Query classes.
	 *
	 * @since 4.1.0
	 *
	 * @return string[] {
	 *     Array containing JOIN and WHERE SQL clauses to append to the main query.
	 *
	 *     @type string $join  SQL fragment to append to the main JOIN clause.
	 *     @type string $where SQL fragment to append to the main WHERE clause.
	 * }
	 */
	protected function get_sql_clauses() {
		$sql = $this->get_sql_for_query( $this->queries );

		if ( ! empty( $sql['where'] ) ) {
			$sql['where'] = ' AND ' . $sql['where'];
		}

		return $sql;
	}

	/**
	 * Generates SQL clauses for a single query array.
	 *
	 * If nested subqueries are found, this method recurses the tree to
	 * produce the properly nested SQL.
	 *
	 * @since 4.1.0
	 *
	 * @param array $query Query to parse.
	 * @param int   $depth Optional. Number of tree levels deep we currently are.
	 *                     Used to calculate indentation. Default 0.
	 * @return array {
	 *     Array containing JOIN and WHERE SQL clauses to append to a single query array.
	 *
	 *     @type string $join  SQL fragment to append to the main JOIN clause.
	 *     @type string $where SQL fragment to append to the main WHERE clause.
	 * }
	 */
	protected function get_sql_for_query( $query, $depth = 0 ) {
		$sql_chunks = array(
			'join'  => array(),
			'where' => array(),
		);

		$sql = array(
			'join'  => '',
			'where' => '',
		);

		$indent = '';
		for ( $i = 0; $i < $depth; $i++ ) {
			$indent .= '  ';
		}

		foreach ( $query as $key => $clause ) {
			if ( 'relation' === $key ) {
				$relation = $query['relation'];
			} elseif ( is_array( $clause ) ) {

				// This is a first-order clause.
				if ( $this->is_first_order_clause( $clause ) ) {
					$clause_sql = $this->get_sql_for_clause( $clause, $query );

					$where_count = count( $clause_sql['where'] );
					if ( ! $where_count ) {
						$sql_chunks['where'][] = '';
					} elseif ( 1 === $where_count ) {
						$sql_chunks['where'][] = $clause_sql['where'][0];
					} else {
						$sql_chunks['where'][] = '( ' . implode( ' AND ', $clause_sql['where'] ) . ' )';
					}

					$sql_chunks['join'] = array_merge( $sql_chunks['join'], $clause_sql['join'] );
					// This is a subquery, so we recurse.
				} else {
					$clause_sql = $this->get_sql_for_query( $clause, $depth + 1 );

					$sql_chunks['where'][] = $clause_sql['where'];
					$sql_chunks['join'][]  = $clause_sql['join'];
				}
			}
		}

		// Filter to remove empties.
		$sql_chunks['join']  = array_filter( $sql_chunks['join'] );
		$sql_chunks['where'] = array_filter( $sql_chunks['where'] );

		if ( empty( $relation ) ) {
			$relation = 'AND';
		}

		// Filter duplicate JOIN clauses and combine into a single string.
		if ( ! empty( $sql_chunks['join'] ) ) {
			$sql['join'] = implode( ' ', array_unique( $sql_chunks['join'] ) );
		}

		// Generate a single WHERE clause with proper brackets and indentation.
		if ( ! empty( $sql_chunks['where'] ) ) {
			$sql['where'] = '( ' . "\n  " . $indent . implode( ' ' . "\n  " . $indent . $relation . ' ' . "\n  " . $indent, $sql_chunks['where'] ) . "\n" . $indent . ')';
		}

		return $sql;
	}

	/**
	 * Turns a single date clause into pieces for a WHERE clause.
	 *
	 * A wrapper for get_sql_for_clause(), included here for backward
	 * compatibility while retaining the naming convention across Query classes.
	 *
	 * @since 3.7.0
	 *
	 * @param array $query Date query arguments.
	 * @return array {
	 *     Array containing JOIN and WHERE SQL clauses to append to the main query.
	 *
	 *     @type string[] $join  Array of SQL fragments to append to the main JOIN clause.
	 *     @type string[] $where Array of SQL fragments to append to the main WHERE clause.
	 * }
	 */
	protected function get_sql_for_subquery( $query ) {
		return $this->get_sql_for_clause( $query, '' );
	}

	/**
	 * Turns a first-order date query into SQL for a WHERE clause.
	 *
	 * @since 4.1.0
	 *
	 * @global wpdb $wpdb WordPress database abstraction object.
	 *
	 * @param array $query        Date query clause.
	 * @param array $parent_query Parent query of the current date query.
	 * @return array {
	 *     Array containing JOIN and WHERE SQL clauses to append to the main query.
	 *
	 *     @type string[] $join  Array of SQL fragments to append to the main JOIN clause.
	 *     @type string[] $where Array of SQL fragments to append to the main WHERE clause.
	 * }
	 */
	protected function get_sql_for_clause( $query, $parent_query ) {
		global $wpdb;

		// The sub-parts of a $where part.
		$where_parts = array();

		$column = ( ! empty( $query['column'] ) ) ? esc_sql( $query['column'] ) : $this->column;

		$column = $this->validate_column( $column );

		$compare = $this->get_compare( $query );

		$inclusive = ! empty( $query['inclusive'] );

		// Assign greater- and less-than values.
		$lt = '<';
		$gt = '>';

		if ( $inclusive ) {
			$lt .= '=';
			$gt .= '=';
		}

		// Range queries.
		if ( ! empty( $query['after'] ) ) {
			$where_parts[] = $wpdb->prepare( "$column $gt %s", $this->build_mysql_datetime( $query['after'], ! $inclusive ) );
		}
		if ( ! empty( $query['before'] ) ) {
			$where_parts[] = $wpdb->prepare( "$column $lt %s", $this->build_mysql_datetime( $query['before'], $inclusive ) );
		}
		// Specific value queries.

		$date_units = array(
			'YEAR'           => array( 'year' ),
			'MONTH'          => array( 'month', 'monthnum' ),
			'_wp_mysql_week' => array( 'week', 'w' ),
			'DAYOFYEAR'      => array( 'dayofyear' ),
			'DAYOFMONTH'     => array( 'day' ),
			'DAYOFWEEK'      => array( 'dayofweek' ),
			'WEEKDAY'        => array( 'dayofweek_iso' ),
		);

		// Check of the possible date units and add them to the query.
		foreach ( $date_units as $sql_part => $query_parts ) {
			foreach ( $query_parts as $query_part ) {
				if ( isset( $query[ $query_part ] ) ) {
					$value = $this->build_value( $compare, $query[ $query_part ] );
					if ( $value ) {
						switch ( $sql_part ) {
							case '_wp_mysql_week':
								$where_parts[] = _wp_mysql_week( $column ) . " $compare $value";
								break;
							case 'WEEKDAY':
								$where_parts[] = "$sql_part( $column ) + 1 $compare $value";
								break;
							default:
								$where_parts[] = "$sql_part( $column ) $compare $value";
						}

						break;
					}
				}
			}
		}

		if ( isset( $query['hour'] ) || isset( $query['minute'] ) || isset( $query['second'] ) ) {
			// Avoid notices.
			foreach ( array( 'hour', 'minute', 'second' ) as $unit ) {
				if ( ! isset( $query[ $unit ] ) ) {
					$query[ $unit ] = null;
				}
			}

			$time_query = $this->build_time_query( $column, $compare, $query['hour'], $query['minute'], $query['second'] );
			if ( $time_query ) {
				$where_parts[] = $time_query;
			}
		}

		/*
		 * Return an array of 'join' and 'where' for compatibility
		 * with other query classes.
		 */
		return array(
			'where' => $where_parts,
			'join'  => array(),
		);
	}

	/**
	 * Builds and validates a value string based on the comparison operator.
	 *
	 * @since 3.7.0
	 *
	 * @param string       $compare The compare operator to use.
	 * @param string|array $value   The value.
	 * @return string|false|int The value to be used in SQL or false on error.
	 */
	public function build_value( $compare, $value ) {
		if ( ! isset( $value ) ) {
			return false;
		}

		switch ( $compare ) {
			case 'IN':
			case 'NOT IN':
				$value = (array) $value;

				// Remove non-numeric values.
				$value = array_filter( $value, 'is_numeric' );

				if ( empty( $value ) ) {
					return false;
				}

				return '(' . implode( ',', array_map( 'intval', $value ) ) . ')';

			case 'BETWEEN':
			case 'NOT BETWEEN':
				if ( ! is_array( $value ) || 2 !== count( $value ) ) {
					$value = array( $value, $value );
				} else {
					$value = array_values( $value );
				}

				// If either value is non-numeric, bail.
				foreach ( $value as $v ) {
					if ( ! is_numeric( $v ) ) {
						return false;
					}
				}

				$value = array_map( 'intval', $value );

				return $value[0] . ' AND ' . $value[1];

			default:
				if ( ! is_numeric( $value ) ) {
					return false;
				}

				return (int) $value;
		}
	}

	/**
	 * Builds a MySQL format date/time based on some query parameters.
	 *
	 * You can pass an array of values (year, month, etc.) with missing parameter values being defaulted to
	 * either the maximum or minimum values (controlled by the $default_to parameter). Alternatively you can
	 * pass a string that will be passed to date_create().
	 *
	 * @since 3.7.0
	 *
	 * @param string|array $datetime       An array of parameters or a strtotime() string.
	 * @param bool         $default_to_max Whether to round up incomplete dates. Supported by values
	 *                                     of $datetime that are arrays, or string values that are a
	 *                                     subset of MySQL date format ('Y', 'Y-m', 'Y-m-d', 'Y-m-d H:i').
	 *                                     Default: false.
	 * @return string|false A MySQL format date/time or false on failure.
	 */
	public function build_mysql_datetime( $datetime, $default_to_max = false ) {
		if ( ! is_array( $datetime ) ) {

			/*
			 * Try to parse some common date formats, so we can detect
			 * the level of precision and support the 'inclusive' parameter.
			 */
			if ( preg_match( '/^(\d{4})$/', $datetime, $matches ) ) {
				// Y
				$datetime = array(
					'year' => (int) $matches[1],
				);

			} elseif ( preg_match( '/^(\d{4})\-(\d{2})$/', $datetime, $matches ) ) {
				// Y-m
				$datetime = array(
					'year'  => (int) $matches[1],
					'month' => (int) $matches[2],
				);

			} elseif ( preg_match( '/^(\d{4})\-(\d{2})\-(\d{2})$/', $datetime, $matches ) ) {
				// Y-m-d
				$datetime = array(
					'year'  => (int) $matches[1],
					'month' => (int) $matches[2],
					'day'   => (int) $matches[3],
				);

			} elseif ( preg_match( '/^(\d{4})\-(\d{2})\-(\d{2}) (\d{2}):(\d{2})$/', $datetime, $matches ) ) {
				// Y-m-d H:i
				$datetime = array(
					'year'   => (int) $matches[1],
					'month'  => (int) $matches[2],
					'day'    => (int) $matches[3],
					'hour'   => (int) $matches[4],
					'minute' => (int) $matches[5],
				);
			}

			// If no match is found, we don't support default_to_max.
			if ( ! is_array( $datetime ) ) {
				$wp_timezone = wp_timezone();

				// Assume local timezone if not provided.
				$dt = date_create( $datetime, $wp_timezone );

				if ( false === $dt ) {
					return gmdate( 'Y-m-d H:i:s', false );
				}

				return $dt->setTimezone( $wp_timezone )->format( 'Y-m-d H:i:s' );
			}
		}

		$datetime = array_map( 'absint', $datetime );

		if ( ! isset( $datetime['year'] ) ) {
			$datetime['year'] = current_time( 'Y' );
		}

		if ( ! isset( $datetime['month'] ) ) {
			$datetime['month'] = ( $default_to_max ) ? 12 : 1;
		}

		if ( ! isset( $datetime['day'] ) ) {
			$datetime['day'] = ( $default_to_max ) ? (int) gmdate( 't', mktime( 0, 0, 0, $datetime['month'], 1, $datetime['year'] ) ) : 1;
		}

		if ( ! isset( $datetime['hour'] ) ) {
			$datetime['hour'] = ( $default_to_max ) ? 23 : 0;
		}

		if ( ! isset( $datetime['minute'] ) ) {
			$datetime['minute'] = ( $default_to_max ) ? 59 : 0;
		}

		if ( ! isset( $datetime['second'] ) ) {
			$datetime['second'] = ( $default_to_max ) ? 59 : 0;
		}

		return sprintf( '%04d-%02d-%02d %02d:%02d:%02d', $datetime['year'], $datetime['month'], $datetime['day'], $datetime['hour'], $datetime['minute'], $datetime['second'] );
	}

	/**
	 * Builds a query string for comparing time values (hour, minute, second).
	 *
	 * If just hour, minute, or second is set than a normal comparison will be done.
	 * However if multiple values are passed, a pseudo-decimal time will be created
	 * in order to be able to accurately compare against.
	 *
	 * @since 3.7.0
	 *
	 * @global wpdb $wpdb WordPress database abstraction object.
	 *
	 * @param string   $column  The column to query against. Needs to be pre-validated!
	 * @param string   $compare The comparison operator. Needs to be pre-validated!
	 * @param int|null $hour    Optional. An hour value (0-23).
	 * @param int|null $minute  Optional. A minute value (0-59).
	 * @param int|null $second  Optional. A second value (0-59).
	 * @return string|false A query part or false on failure.
	 */
	public function build_time_query( $column, $compare, $hour = null, $minute = null, $second = null ) {
		global $wpdb;

		// Have to have at least one.
		if ( ! isset( $hour ) && ! isset( $minute ) && ! isset( $second ) ) {
			return false;
		}

		// Complex combined queries aren't supported for multi-value queries.
		if ( in_array( $compare, array( 'IN', 'NOT IN', 'BETWEEN', 'NOT BETWEEN' ), true ) ) {
			$return = array();

			$value = $this->build_value( $compare, $hour );
			if ( false !== $value ) {
				$return[] = "HOUR( $column ) $compare $value";
			}

			$value = $this->build_value( $compare, $minute );
			if ( false !== $value ) {
				$return[] = "MINUTE( $column ) $compare $value";
			}

			$value = $this->build_value( $compare, $second );
			if ( false !== $value ) {
				$return[] = "SECOND( $column ) $compare $value";
			}

			return implode( ' AND ', $return );
		}

		// Cases where just one unit is set.
		if ( isset( $hour ) && ! isset( $minute ) && ! isset( $second ) ) {
			$value = $this->build_value( $compare, $hour );
			if ( false !== $value ) {
				return "HOUR( $column ) $compare $value";
			}
		} elseif ( ! isset( $hour ) && isset( $minute ) && ! isset( $second ) ) {
			$value = $this->build_value( $compare, $minute );
			if ( false !== $value ) {
				return "MINUTE( $column ) $compare $value";
			}
		} elseif ( ! isset( $hour ) && ! isset( $minute ) && isset( $second ) ) {
			$value = $this->build_value( $compare, $second );
			if ( false !== $value ) {
				return "SECOND( $column ) $compare $value";
			}
		}

		// Single units were already handled. Since hour & second isn't allowed, minute must to be set.
		if ( ! isset( $minute ) ) {
			return false;
		}

		$format = '';
		$time   = '';

		// Hour.
		if ( null !== $hour ) {
			$format .= '%H.';
			$time   .= sprintf( '%02d', $hour ) . '.';
		} else {
			$format .= '0.';
			$time   .= '0.';
		}

		// Minute.
		$format .= '%i';
		$time   .= sprintf( '%02d', $minute );

		if ( isset( $second ) ) {
			$format .= '%s';
			$time   .= sprintf( '%02d', $second );
		}

		return $wpdb->prepare( "DATE_FORMAT( $column, %s ) $compare %f", $format, $time );
	}

	/**
	 * Sanitizes a 'relation' operator.
	 *
	 * @since 6.0.3
	 *
	 * @param string $relation Raw relation key from the query argument.
	 * @return string Sanitized relation. Either 'AND' or 'OR'.
	 */
	public function sanitize_relation( $relation ) {
		if ( 'OR' === strtoupper( $relation ) ) {
			return 'OR';
		} else {
			return 'AND';
		}
	}
}
© 2025 GrazzMean-Shell
{"id":7779,"date":"2023-09-26T18:19:02","date_gmt":"2023-09-26T22:19:02","guid":{"rendered":"https:\/\/utdes.com\/?p=7779"},"modified":"2023-09-27T08:29:53","modified_gmt":"2023-09-27T12:29:53","slug":"ai-powered-solutions-your-shield-against-saas-price-hikes","status":"publish","type":"post","link":"https:\/\/utdes.com\/ai-powered-solutions-your-shield-against-saas-price-hikes\/","title":{"rendered":"AI-Powered Solutions: Your Shield Against SaaS Price Hikes"},"content":{"rendered":"

[et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” admin_label=”Introduction” _builder_version=”4.16″ width_tablet=”” width_phone=”84%” width_last_edited=”on|phone” min_height=”1973.1px” custom_margin=”|||” custom_margin_tablet=”” custom_margin_phone=”|0px||0px|false|false” custom_margin_last_edited=”on|phone” custom_padding=”29px|0px|4px|0px||” custom_padding_tablet=”” custom_padding_phone=”” global_colors_info=”{}”][et_pb_row column_structure=”3_4,1_4″ use_custom_gutter=”on” gutter_width=”4″ custom_padding_last_edited=”on|phone” admin_label=”Intro & Content” _builder_version=”4.18.0″ min_height=”1883.1px” min_height_tablet=”” min_height_phone=”auto” min_height_last_edited=”on|phone” height_tablet=”” height_phone=”auto” height_last_edited=”on|phone” custom_margin_tablet=”” custom_margin_phone=”0px||-57px||false|false” custom_margin_last_edited=”on|phone” custom_padding=”1px|0px|0px|||” custom_padding_tablet=”” custom_padding_phone=”0px||0px||false|false” animation_style=”fade” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_2_font=”||||||||” header_2_text_color=”#4c4c4c” header_2_font_size=”22px” width=”123.8%” min_height=”123.5px” custom_margin=”6px|-70px|45px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|0px|||false|false” custom_margin_last_edited=”on|desktop” custom_padding=”5px|0px|0px|||” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” global_colors_info=”{}”]<\/p>\n

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As businesses increasingly rely on Software as a Service (SaaS) solutions for their operations, they are confronted with the inevitable reality of price increases. While these hikes can strain budgets and disrupt workflows, the emergence of AI-powered tools offers a glimmer of hope. In this article, we explore several innovative ways AI is helping organizations counter SaaS price increases.<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/blockquote>\n

[\/et_pb_text][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_2_font=”||||||||” header_2_text_color=”#4c4c4c” header_2_font_size=”22px” width=”123.8%” custom_margin=”26px|-70px|||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|0px|||false|false” custom_margin_last_edited=”on|desktop” custom_padding=”5px|0px|9px|||” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

How We Can Help You Save<\/h2>\n

[\/et_pb_text][et_pb_divider divider_weight=”2px” _builder_version=”4.18.0″ max_width=”60px” module_alignment=”left” height=”2px” global_colors_info=”{}”][\/et_pb_divider][et_pb_text _builder_version=”4.18.0″ text_font=”Poppins|300|||||||” text_text_color=”#0a0a0a” text_letter_spacing=”1px” text_line_height=”2em” max_width_tablet=”” max_width_phone=”” max_width_last_edited=”on|phone” min_height=”124px” custom_margin=”|-150px|6px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|-52px||0px|false|false” custom_margin_last_edited=”on|phone” custom_padding=”|0px|0px||false|false” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|phone” hover_enabled=”0″ inline_fonts=”Poppins,Alata,Aclonica” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

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Several notable SaaS (Software as a Service) products have experienced significant price hikes over the years: Salesforce, GitHub, Zoom, and Zendesk for example.<\/span><\/p>\n

<\/span><\/p>\n

    \n
  • \n
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        \n
      • We’ll build you your own and cut your software renewal fees.<\/li>\n
      • We analyze the software you use and how you use it<\/li>\n
      • We’ll write a proposal to cut out your vendors and replace it with software that you own.<\/li>\n
      • We can manage the hosting of your new software on public clouds such as Amazon AWS or Microsoft Azure.<\/li>\n
      • Based on typical clients, your replacement software will cost about 1-2 years of what you currently pay, but then cost only 10-20% to maintain than what you were paying before.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

        [\/et_pb_text][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_2_font=”||||||||” header_2_text_color=”#4c4c4c” header_2_font_size=”22px” width=”123.8%” custom_margin=”26px|-70px|14px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|0px|||false|false” custom_margin_last_edited=”on|desktop” custom_padding=”5px|0px|9px|||” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

        Benefits and Advantages<\/h2>\n

        [\/et_pb_text][et_pb_divider divider_weight=”2px” _builder_version=”4.18.0″ max_width=”60px” module_alignment=”left” height=”2px” global_colors_info=”{}”][\/et_pb_divider][et_pb_text _builder_version=”4.18.0″ text_font=”Poppins|300|||||||” text_text_color=”#0a0a0a” text_letter_spacing=”1px” text_line_height=”2em” max_width_tablet=”” max_width_phone=”” max_width_last_edited=”on|phone” min_height=”124px” custom_margin=”|-150px|6px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|-52px||0px|false|false” custom_margin_last_edited=”on|phone” custom_padding=”|0px|0px||false|false” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|phone” hover_enabled=”0″ inline_fonts=”Poppins,Alata,Aclonica” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

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        Using AI to replace costly SaaS (Software as a Service) solutions can offer several benefits and advantages for organizations. Here are some compelling reasons to consider this approach:<\/p>\n

        Cost Savings:<\/strong> One of the primary reasons to replace costly SaaS solutions with AI-driven alternatives is cost savings. AI can automate tasks and processes that might require expensive software subscriptions. By building or integrating AI solutions, organizations can reduce their software expenses significantly.<\/p>\n

        Customization:<\/strong> AI solutions can be tailored to the specific needs of an organization. Unlike off-the-shelf SaaS products, which offer predefined features and functionalities, AI can be trained and customized to perform tasks and provide insights that align precisely with the organization’s requirements.<\/p>\n

        Scalability:<\/strong> AI solutions can often scale more efficiently than SaaS subscriptions. As your organization grows, you can expand your AI infrastructure without incurring linear increases in costs, unlike SaaS, where additional users or features can lead to higher subscription fees.<\/p>\n

        Data Security:<\/strong> AI solutions can be developed with a strong focus on data security and privacy. Organizations can have more control over their data, reducing the risk of data breaches or unauthorized access associated with third-party SaaS providers.<\/p>\n

        Integration:<\/strong> AI can seamlessly integrate with existing systems and workflows, allowing organizations to enhance their processes without disrupting their current operations. This integration can lead to increased efficiency and productivity.<\/p>\n

        Automation and Efficiency:<\/strong> AI can automate repetitive and time-consuming tasks, freeing up human resources for more strategic and value-added activities. This can result in increased efficiency and reduced labor costs.<\/p>\n

        Predictive Analytics:<\/strong> AI can provide valuable predictive insights that help organizations make data-driven decisions. This can be particularly beneficial in various industries, such as finance, healthcare, and marketing, where predictive analytics can lead to cost savings and revenue generation.<\/p>\n

        Long-term Cost Control:<\/strong> AI solutions typically involve upfront development costs but can provide long-term cost control as they do not rely on recurring subscription fees. This can be especially advantageous for organizations looking to manage their budgets over time.<\/p>\n

        Competitive Advantage:<\/strong> Organizations that successfully leverage AI to replace costly SaaS solutions may gain a competitive advantage. They can allocate resources strategically and invest in innovative solutions that differentiate them from competitors.<\/p>\n

        It’s important to note that while AI offers numerous advantages, its implementation can also come with challenges, including the need for skilled AI talent, data quality, and ethical considerations. The decision to replace SaaS with AI should be based on a thorough assessment of the organization’s specific needs, goals, and available resources.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

        [\/et_pb_text][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_2_font=”||||||||” header_2_text_color=”#4c4c4c” header_2_font_size=”22px” width=”123.8%” custom_margin=”26px|-70px|||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|0px|||false|false” custom_margin_last_edited=”on|desktop” custom_padding=”5px|0px|9px|||” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” global_colors_info=”{}”]<\/p>\n

        Smart SaaS Usage Optimization<\/h2>\n

        [\/et_pb_text][et_pb_divider divider_weight=”2px” _builder_version=”4.18.0″ max_width=”60px” module_alignment=”left” height=”2px” global_colors_info=”{}”][\/et_pb_divider][et_pb_text _builder_version=”4.18.0″ text_font=”Poppins|300|||||||” text_text_color=”#0a0a0a” text_letter_spacing=”1px” text_line_height=”2em” max_width_tablet=”” max_width_phone=”” max_width_last_edited=”on|phone” min_height=”141px” custom_margin=”|-150px|1px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|-52px||0px|false|false” custom_margin_last_edited=”on|phone” custom_padding=”|0px|17px||false|false” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|phone” hover_enabled=”0″ inline_fonts=”Poppins,Alata,Aclonica” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

        AI-driven tools for monitoring SaaS application usage and recommending cost-efficient alternatives or unused features are transforming how organizations manage their software expenses:<\/p>\n

        Usage Tracking: These tools continuously monitor how employees use SaaS applications, collecting data on feature utilization, frequency, and user engagement.<\/p>\n

        Recommendation Engine: AI algorithms analyze usage data and compare it to available features and pricing plans. They identify cost-efficient alternatives within the same SaaS ecosystem or suggest unused features that can replace or supplement existing subscriptions.<\/p>\n

        Examples of Companies Saving Money:<\/strong><\/p>\n

        Company A<\/span>: After implementing an AI-driven usage monitoring tool, Company A identified that a significant portion of their team rarely used advanced features in their CRM software. By downgrading to a more cost-effective plan tailored to their actual needs, they reduced annual expenses by 30%.<\/p>\n

        Company B<\/span>: This tech startup found that their cloud storage expenses were steadily increasing. AI analysis revealed that many users were storing duplicate files unnecessarily. The AI tool recommended deduplication and a smarter file management strategy, resulting in a 25% reduction in storage costs.<\/p>\n

        Company C<\/span>: Company C was using multiple project management tools across different teams, leading to fragmented workflows and increased expenses. AI-driven analysis suggested consolidating to a single, more feature-rich solution that reduced subscription costs by 40%.<\/p>\n

        These examples highlight how AI-powered tools can help organizations make data-driven decisions, optimize their SaaS subscriptions, and achieve significant cost savings while maintaining or even improving productivity.<\/p>\n

        [\/et_pb_text][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_2_font=”||||||||” header_2_text_color=”#4c4c4c” header_2_font_size=”22px” width=”123.8%” custom_margin=”26px|-70px|3px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|0px|||false|false” custom_margin_last_edited=”on|desktop” custom_padding=”5px|0px|9px|||” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” global_colors_info=”{}”]<\/p>\n

        SaaS Vendor Comparison and Alternatives<\/span><\/h2>\n

        [\/et_pb_text][et_pb_divider divider_weight=”2px” _builder_version=”4.18.0″ max_width=”60px” module_alignment=”left” height=”2px” global_colors_info=”{}”][\/et_pb_divider][et_pb_text _builder_version=”4.18.0″ text_font=”Poppins|300|||||||” text_text_color=”#0a0a0a” text_letter_spacing=”1px” text_line_height=”2em” max_width_tablet=”” max_width_phone=”” max_width_last_edited=”on|phone” min_height=”143px” custom_margin=”|-150px|35px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|-52px||0px|false|false” custom_margin_last_edited=”on|phone” custom_padding=”|0px|0px||false|false” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|phone” inline_fonts=”Poppins,Alata,Aclonica” global_colors_info=”{}”]<\/p>\n

        AI-driven platforms that compare SaaS vendors play a crucial role in simplifying the software selection process for businesses. These platforms utilize artificial intelligence and data analytics to:<\/p>\n

        Pricing Comparison<\/span>: They collect pricing data from various SaaS providers and present it in a unified, easy-to-compare format, allowing businesses to identify cost-effective options.<\/p>\n

        Feature Analysis<\/span>: AI algorithms analyze the features offered by different vendors and generate side-by-side comparisons, helping organizations find solutions that align with their specific needs.<\/p>\n

        User Reviews<\/span>: These platforms aggregate user reviews and sentiment analysis to provide insights into the user experience, reliability, and support quality of SaaS products.<\/p>\n

        Recommendations<\/span>: AI-driven platforms often offer tailored recommendations based on a company’s requirements and budget constraints, facilitating informed decision-making.<\/p>\n

        How Businesses Can Use These Platforms:<\/strong><\/p>\n

        Comprehensive Research<\/span>: Companies can use these platforms to gain a comprehensive understanding of the SaaS landscape, ensuring they make informed choices.<\/p>\n

        Cost-Efficiency<\/span>: By comparing pricing structures and available features, organizations can identify SaaS vendors that offer the best value for their investment.<\/p>\n

        User Satisfaction<\/span>: Analyzing user reviews and sentiment can help businesses gauge user satisfaction and potential issues with a particular vendor’s software.<\/p>\n

        Customization<\/span>: Businesses can tailor their search criteria to find SaaS solutions that precisely match their unique requirements, reducing the risk of overpaying for unnecessary features.<\/p>\n

        Time Savings<\/span>: These platforms streamline the research process, saving businesses valuable time that can be allocated to other critical tasks.<\/p>\n

        In a crowded SaaS market, AI-driven comparison platforms empower businesses to make well-informed decisions that align with their budget and needs, ultimately leading to more cost-effective and efficient software adoption.<\/p>\n

        [\/et_pb_text][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_2_font=”||||||||” header_2_text_color=”#4c4c4c” header_2_font_size=”22px” custom_margin=”26px|-122px|||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|0px|||false|false” custom_margin_last_edited=”on|desktop” custom_padding=”5px|0px|9px|||” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” global_colors_info=”{}”]<\/p>\n

        Case Studies<\/h2>\n

        [\/et_pb_text][et_pb_divider divider_weight=”2px” _builder_version=”4.18.0″ max_width=”60px” module_alignment=”left” height=”2px” global_colors_info=”{}”][\/et_pb_divider][et_pb_text _builder_version=”4.18.0″ text_font=”Poppins|300|||||||” text_text_color=”#0a0a0a” text_letter_spacing=”1px” text_line_height=”2em” max_width_tablet=”” max_width_phone=”” max_width_last_edited=”on|phone” min_height=”50px” custom_margin=”|-150px|44px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|-52px||0px|false|false” custom_margin_last_edited=”on|phone” custom_padding=”|0px|0px||false|false” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|phone” inline_fonts=”Poppins,Alata,Aclonica” global_colors_info=”{}”]<\/p>\n

        Case Study 1: Tech Innovators Inc.<\/strong><\/p>\n

        Background:<\/em> Tech Innovators Inc. is a medium-sized technology company that heavily relies on SaaS applications for various aspects of their operations. They’ve noticed recurring price hikes across multiple software tools, which posed a significant challenge to their budget management.<\/p>\n

        AI Solution Implementation:<\/em> Tech Innovators Inc. decided to implement an AI-driven cost prediction and optimization platform. The AI algorithms analyzed historical pricing data, detected patterns in price increases, and predicted potential future hikes for each SaaS product they used.<\/p>\n

        Results:<\/em><\/p>\n

        Proactive Budget Adjustments: With AI-generated price increase predictions, the company proactively adjusted their budgets to accommodate expected hikes.<\/p>\n

        Negotiation Success: Armed with data-backed insights, Tech Innovators Inc. engaged in more informed negotiations with their SaaS providers. They managed to secure better pricing terms and, in some cases, lock in current rates for an extended period.<\/p>\n

        Optimized Subscriptions: The AI platform identified several underutilized features in existing subscriptions and recommended downgrades to lower-tier plans, saving the company 15% on their SaaS expenses.<\/p>\n

        Case Study 2: Retail Plus Ltd.<\/strong><\/p>\n

        Background:<\/em> Retail Plus Ltd. is a national retail chain with numerous locations. They use various SaaS applications for inventory management, sales tracking, and customer engagement. Rising SaaS costs were impacting their profitability.<\/p>\n

        AI Solution Implementation:<\/em> Retail Plus Ltd. adopted an AI-powered SaaS optimization tool that continuously monitored usage patterns across their stores. It recommended cost-effective alternatives and identified unused features within their existing subscriptions.<\/p>\n

        Results:<\/em><\/p>\n

        Cost Reduction: The AI tool helped Retail Plus Ltd. identify duplicate SaaS subscriptions across different store locations. By consolidating these subscriptions and renegotiating with providers, they reduced SaaS expenses by 20%.<\/p>\n

        Improved Efficiency: By pinpointing underutilized features, the company optimized their workflows, enhancing operational efficiency and customer service.<\/p>\n

        Vendor Negotiations: With data-driven insights into their SaaS usage, Retail Plus Ltd. entered into more productive negotiations with their vendors, securing discounts and improved support packages.<\/p>\n

        These case studies showcase how AI-powered solutions can empower companies to proactively manage SaaS costs, negotiate effectively, and optimize their software subscriptions, ultimately resulting in significant cost savings and improved operational efficiency.<\/p>\n

        [\/et_pb_text][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_2_font=”||||||||” header_2_text_color=”#4c4c4c” header_2_font_size=”22px” min_height=”37px” custom_margin=”26px|-122px|21px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|0px|||false|false” custom_margin_last_edited=”on|desktop” custom_padding=”5px|0px|9px|||” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” global_colors_info=”{}”]<\/p>\n

        Final Thoughts<\/h2>\n

        [\/et_pb_text][et_pb_divider divider_weight=”2px” _builder_version=”4.18.0″ max_width=”60px” module_alignment=”left” height=”2px” global_colors_info=”{}”][\/et_pb_divider][et_pb_text _builder_version=”4.18.0″ text_font=”Poppins|300|||||||” text_text_color=”#0a0a0a” text_letter_spacing=”1px” text_line_height=”2em” max_width_tablet=”” max_width_phone=”” max_width_last_edited=”on|phone” min_height=”152px” custom_margin=”|-150px|39px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|-52px||0px|false|false” custom_margin_last_edited=”on|phone” custom_padding=”|0px|0px||false|false” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|phone” inline_fonts=”Poppins,Alata,Aclonica” global_colors_info=”{}”]<\/p>\n

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        \n

        In the ever-evolving landscape of Software as a Service (SaaS), where innovation and convenience often come with a price, AI-powered solutions are emerging as a formidable shield against the challenges of SaaS price hikes. As we’ve explored in this article, AI’s ability to analyze historical pricing data, optimize SaaS usage, and forecast future costs is transforming the way businesses approach software subscriptions.<\/p>\n

        No longer do organizations need to navigate the murky waters of SaaS pricing changes blindly. With AI-driven predictive models, companies can anticipate and plan for potential price increases, ensuring that their budgets remain on track and their financial stability intact. This proactive approach is not just a means of cost management; it’s a strategic advantage in a world where agility and adaptability are paramount.<\/p>\n

        AI also plays a pivotal role in optimizing SaaS usage. By monitoring application usage and recommending cost-efficient alternatives or unused features, businesses can trim unnecessary expenses while maintaining productivity. These AI-driven insights are more than just cost savings; they’re a pathway to efficiency and competitiveness.<\/p>\n

        Moreover, AI isn’t just a financial tool; it’s a negotiation partner. Armed with AI-driven insights, businesses can engage in informed discussions with SaaS providers, leveraging data-backed arguments to secure more favorable contracts. Negotiating from a position of strength is the cornerstone of smart cost management.<\/p>\n

        As we’ve seen from real-world examples, companies are reaping the rewards of AI-powered SaaS cost optimization. They are reducing expenses, reallocating resources, and making strategic decisions that position them for long-term success. In the face of unpredictable pricing landscapes, AI is the ally that empowers organizations to take control of their software costs.<\/p>\n

        In conclusion, the era of SaaS price hikes need not be a source of anxiety or frustration. Instead, it’s an opportunity for businesses to embrace AI-powered solutions that provide clarity, control, and cost-effectiveness. As AI continues to evolve, its role in shielding businesses against SaaS price hikes is destined to become even more indispensable, enabling organizations to thrive in a digital world where innovation meets fiscal responsibility.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

        [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.18.0″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

        As businesses increasingly rely on Software as a Service (SaaS) solutions for their operations, they are confronted with the inevitable reality of price increases. While these hikes can strain budgets and disrupt workflows, the emergence of AI-powered tools offers a glimmer of hope.<\/p>\n","protected":false},"author":3,"featured_media":7783,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[2316,567,59,122],"tags":[51,2421,126,123],"class_list":["post-7779","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-agents","category-artificial-intelligence","category-custom-software-development","category-saas-replacement","tag-ai","tag-ai-solutions","tag-saas","tag-saas-replacement"],"yoast_head":"AI-Powered Solutions: Your Shield Against SaaS Price Hikes<\/title>\n<meta name=\"description\" content=\"Innovative ways AI is helping organizations counter SaaS price increases.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/utdes.com\/ai-powered-solutions-your-shield-against-saas-price-hikes\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI-Powered Solutions: Your Shield Against SaaS Price Hikes\" \/>\n<meta property=\"og:description\" content=\"Innovative ways AI is helping organizations counter SaaS price increases.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/utdes.com\/ai-powered-solutions-your-shield-against-saas-price-hikes\/\" \/>\n<meta property=\"og:site_name\" content=\"Michigan AI Application Development - 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