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name : class-wp-term-query.php
<?php

/**
 * Taxonomy API: WP_Term_Query class.
 *
 * @package WordPress
 * @subpackage Taxonomy
 * @since 4.6.0
 */

/**
 * Class used for querying terms.
 *
 * @since 4.6.0
 *
 * @see WP_Term_Query::__construct() for accepted arguments.
 */
#[AllowDynamicProperties]
class WP_Term_Query {

	/**
	 * SQL string used to perform database query.
	 *
	 * @since 4.6.0
	 * @var string
	 */
	public $request;

	/**
	 * Metadata query container.
	 *
	 * @since 4.6.0
	 * @var WP_Meta_Query A meta query instance.
	 */
	public $meta_query = false;

	/**
	 * Metadata query clauses.
	 *
	 * @since 4.6.0
	 * @var array
	 */
	protected $meta_query_clauses;

	/**
	 * SQL query clauses.
	 *
	 * @since 4.6.0
	 * @var array
	 */
	protected $sql_clauses = array(
		'select'  => '',
		'from'    => '',
		'where'   => array(),
		'orderby' => '',
		'limits'  => '',
	);

	/**
	 * Query vars set by the user.
	 *
	 * @since 4.6.0
	 * @var array
	 */
	public $query_vars;

	/**
	 * Default values for query vars.
	 *
	 * @since 4.6.0
	 * @var array
	 */
	public $query_var_defaults;

	/**
	 * List of terms located by the query.
	 *
	 * @since 4.6.0
	 * @var array
	 */
	public $terms;

	/**
	 * Constructor.
	 *
	 * Sets up the term query, based on the query vars passed.
	 *
	 * @since 4.6.0
	 * @since 4.6.0 Introduced 'term_taxonomy_id' parameter.
	 * @since 4.7.0 Introduced 'object_ids' parameter.
	 * @since 4.9.0 Added 'slug__in' support for 'orderby'.
	 * @since 5.1.0 Introduced the 'meta_compare_key' parameter.
	 * @since 5.3.0 Introduced the 'meta_type_key' parameter.
	 * @since 6.4.0 Introduced the 'cache_results' parameter.
	 *
	 * @param string|array $query {
	 *     Optional. Array or query string of term query parameters. Default empty.
	 *
	 *     @type string|string[] $taxonomy               Taxonomy name, or array of taxonomy names, to which results
	 *                                                   should be limited.
	 *     @type int|int[]       $object_ids             Object ID, or array of object IDs. Results will be
	 *                                                   limited to terms associated with these objects.
	 *     @type string          $orderby                Field(s) to order terms by. Accepts:
	 *                                                   - Term fields ('name', 'slug', 'term_group', 'term_id', 'id',
	 *                                                     'description', 'parent', 'term_order'). Unless `$object_ids`
	 *                                                     is not empty, 'term_order' is treated the same as 'term_id'.
	 *                                                   - 'count' to use the number of objects associated with the term.
	 *                                                   - 'include' to match the 'order' of the `$include` param.
	 *                                                   - 'slug__in' to match the 'order' of the `$slug` param.
	 *                                                   - 'meta_value'
	 *                                                   - 'meta_value_num'.
	 *                                                   - The value of `$meta_key`.
	 *                                                   - The array keys of `$meta_query`.
	 *                                                   - 'none' to omit the ORDER BY clause.
	 *                                                   Default 'name'.
	 *     @type string          $order                  Whether to order terms in ascending or descending order.
	 *                                                   Accepts 'ASC' (ascending) or 'DESC' (descending).
	 *                                                   Default 'ASC'.
	 *     @type bool|int        $hide_empty             Whether to hide terms not assigned to any posts. Accepts
	 *                                                   1|true or 0|false. Default 1|true.
	 *     @type int[]|string    $include                Array or comma/space-separated string of term IDs to include.
	 *                                                   Default empty array.
	 *     @type int[]|string    $exclude                Array or comma/space-separated string of term IDs to exclude.
	 *                                                   If `$include` is non-empty, `$exclude` is ignored.
	 *                                                   Default empty array.
	 *     @type int[]|string    $exclude_tree           Array or comma/space-separated string of term IDs to exclude
	 *                                                   along with all of their descendant terms. If `$include` is
	 *                                                   non-empty, `$exclude_tree` is ignored. Default empty array.
	 *     @type int|string      $number                 Maximum number of terms to return. Accepts ''|0 (all) or any
	 *                                                   positive number. Default ''|0 (all). Note that `$number` may
	 *                                                   not return accurate results when coupled with `$object_ids`.
	 *                                                   See #41796 for details.
	 *     @type int             $offset                 The number by which to offset the terms query. Default empty.
	 *     @type string          $fields                 Term fields to query for. Accepts:
	 *                                                   - 'all' Returns an array of complete term objects (`WP_Term[]`).
	 *                                                   - 'all_with_object_id' Returns an array of term objects
	 *                                                     with the 'object_id' param (`WP_Term[]`). Works only
	 *                                                     when the `$object_ids` parameter is populated.
	 *                                                   - 'ids' Returns an array of term IDs (`int[]`).
	 *                                                   - 'tt_ids' Returns an array of term taxonomy IDs (`int[]`).
	 *                                                   - 'names' Returns an array of term names (`string[]`).
	 *                                                   - 'slugs' Returns an array of term slugs (`string[]`).
	 *                                                   - 'count' Returns the number of matching terms (`int`).
	 *                                                   - 'id=>parent' Returns an associative array of parent term IDs,
	 *                                                      keyed by term ID (`int[]`).
	 *                                                   - 'id=>name' Returns an associative array of term names,
	 *                                                      keyed by term ID (`string[]`).
	 *                                                   - 'id=>slug' Returns an associative array of term slugs,
	 *                                                      keyed by term ID (`string[]`).
	 *                                                   Default 'all'.
	 *     @type bool            $count                  Whether to return a term count. If true, will take precedence
	 *                                                   over `$fields`. Default false.
	 *     @type string|string[] $name                   Name or array of names to return term(s) for.
	 *                                                   Default empty.
	 *     @type string|string[] $slug                   Slug or array of slugs to return term(s) for.
	 *                                                   Default empty.
	 *     @type int|int[]       $term_taxonomy_id       Term taxonomy ID, or array of term taxonomy IDs,
	 *                                                   to match when querying terms.
	 *     @type bool            $hierarchical           Whether to include terms that have non-empty descendants
	 *                                                   (even if `$hide_empty` is set to true). Default true.
	 *     @type string          $search                 Search criteria to match terms. Will be SQL-formatted with
	 *                                                   wildcards before and after. Default empty.
	 *     @type string          $name__like             Retrieve terms with criteria by which a term is LIKE
	 *                                                   `$name__like`. Default empty.
	 *     @type string          $description__like      Retrieve terms where the description is LIKE
	 *                                                   `$description__like`. Default empty.
	 *     @type bool            $pad_counts             Whether to pad the quantity of a term's children in the
	 *                                                   quantity of each term's "count" object variable.
	 *                                                   Default false.
	 *     @type string          $get                    Whether to return terms regardless of ancestry or whether the
	 *                                                   terms are empty. Accepts 'all' or '' (disabled).
	 *                                                   Default ''.
	 *     @type int             $child_of               Term ID to retrieve child terms of. If multiple taxonomies
	 *                                                   are passed, `$child_of` is ignored. Default 0.
	 *     @type int             $parent                 Parent term ID to retrieve direct-child terms of.
	 *                                                   Default empty.
	 *     @type bool            $childless              True to limit results to terms that have no children.
	 *                                                   This parameter has no effect on non-hierarchical taxonomies.
	 *                                                   Default false.
	 *     @type string          $cache_domain           Unique cache key to be produced when this query is stored in
	 *                                                   an object cache. Default 'core'.
	 *     @type bool            $cache_results          Whether to cache term information. Default true.
	 *     @type bool            $update_term_meta_cache Whether to prime meta caches for matched terms. Default true.
	 *     @type string|string[] $meta_key               Meta key or keys to filter by.
	 *     @type string|string[] $meta_value             Meta value or values to filter by.
	 *     @type string          $meta_compare           MySQL operator used for comparing the meta value.
	 *                                                   See WP_Meta_Query::__construct() for accepted values and default value.
	 *     @type string          $meta_compare_key       MySQL operator used for comparing the meta key.
	 *                                                   See WP_Meta_Query::__construct() for accepted values and default value.
	 *     @type string          $meta_type              MySQL data type that the meta_value column will be CAST to for comparisons.
	 *                                                   See WP_Meta_Query::__construct() for accepted values and default value.
	 *     @type string          $meta_type_key          MySQL data type that the meta_key column will be CAST to for comparisons.
	 *                                                   See WP_Meta_Query::__construct() for accepted values and default value.
	 *     @type array           $meta_query             An associative array of WP_Meta_Query arguments.
	 *                                                   See WP_Meta_Query::__construct() for accepted values.
	 * }
	 */
	public function __construct( $query = '' ) {
		$this->query_var_defaults = array(
			'taxonomy'               => null,
			'object_ids'             => null,
			'orderby'                => 'name',
			'order'                  => 'ASC',
			'hide_empty'             => true,
			'include'                => array(),
			'exclude'                => array(),
			'exclude_tree'           => array(),
			'number'                 => '',
			'offset'                 => '',
			'fields'                 => 'all',
			'count'                  => false,
			'name'                   => '',
			'slug'                   => '',
			'term_taxonomy_id'       => '',
			'hierarchical'           => true,
			'search'                 => '',
			'name__like'             => '',
			'description__like'      => '',
			'pad_counts'             => false,
			'get'                    => '',
			'child_of'               => 0,
			'parent'                 => '',
			'childless'              => false,
			'cache_domain'           => 'core',
			'cache_results'          => true,
			'update_term_meta_cache' => true,
			'meta_query'             => '',
			'meta_key'               => '',
			'meta_value'             => '',
			'meta_type'              => '',
			'meta_compare'           => '',
		);

		if ( ! empty( $query ) ) {
			$this->query( $query );
		}
	}

	/**
	 * Parse arguments passed to the term query with default query parameters.
	 *
	 * @since 4.6.0
	 *
	 * @param string|array $query WP_Term_Query arguments. See WP_Term_Query::__construct() for accepted arguments.
	 */
	public function parse_query( $query = '' ) {
		if ( empty( $query ) ) {
			$query = $this->query_vars;
		}

		$taxonomies = isset( $query['taxonomy'] ) ? (array) $query['taxonomy'] : null;

		/**
		 * Filters the terms query default arguments.
		 *
		 * Use {@see 'get_terms_args'} to filter the passed arguments.
		 *
		 * @since 4.4.0
		 *
		 * @param array    $defaults   An array of default get_terms() arguments.
		 * @param string[] $taxonomies An array of taxonomy names.
		 */
		$this->query_var_defaults = apply_filters( 'get_terms_defaults', $this->query_var_defaults, $taxonomies );

		$query = wp_parse_args( $query, $this->query_var_defaults );

		$query['number'] = absint( $query['number'] );
		$query['offset'] = absint( $query['offset'] );

		// 'parent' overrides 'child_of'.
		if ( 0 < (int) $query['parent'] ) {
			$query['child_of'] = false;
		}

		if ( 'all' === $query['get'] ) {
			$query['childless']    = false;
			$query['child_of']     = 0;
			$query['hide_empty']   = 0;
			$query['hierarchical'] = false;
			$query['pad_counts']   = false;
		}

		$query['taxonomy'] = $taxonomies;

		$this->query_vars = $query;

		/**
		 * Fires after term query vars have been parsed.
		 *
		 * @since 4.6.0
		 *
		 * @param WP_Term_Query $query Current instance of WP_Term_Query.
		 */
		do_action( 'parse_term_query', $this );
	}

	/**
	 * Sets up the query and retrieves the results.
	 *
	 * The return type varies depending on the value passed to `$args['fields']`. See
	 * WP_Term_Query::get_terms() for details.
	 *
	 * @since 4.6.0
	 *
	 * @param string|array $query Array or URL query string of parameters.
	 * @return WP_Term[]|int[]|string[]|string Array of terms, or number of terms as numeric string
	 *                                         when 'count' is passed as a query var.
	 */
	public function query( $query ) {
		$this->query_vars = wp_parse_args( $query );
		return $this->get_terms();
	}

	/**
	 * Retrieves the query results.
	 *
	 * The return type varies depending on the value passed to `$args['fields']`.
	 *
	 * The following will result in an array of `WP_Term` objects being returned:
	 *
	 *   - 'all'
	 *   - 'all_with_object_id'
	 *
	 * The following will result in a numeric string being returned:
	 *
	 *   - 'count'
	 *
	 * The following will result in an array of text strings being returned:
	 *
	 *   - 'id=>name'
	 *   - 'id=>slug'
	 *   - 'names'
	 *   - 'slugs'
	 *
	 * The following will result in an array of numeric strings being returned:
	 *
	 *   - 'id=>parent'
	 *
	 * The following will result in an array of integers being returned:
	 *
	 *   - 'ids'
	 *   - 'tt_ids'
	 *
	 * @since 4.6.0
	 *
	 * @global wpdb $wpdb WordPress database abstraction object.
	 *
	 * @return WP_Term[]|int[]|string[]|string Array of terms, or number of terms as numeric string
	 *                                         when 'count' is passed as a query var.
	 */
	public function get_terms() {
		global $wpdb;

		$this->parse_query( $this->query_vars );
		$args = &$this->query_vars;

		// Set up meta_query so it's available to 'pre_get_terms'.
		$this->meta_query = new WP_Meta_Query();
		$this->meta_query->parse_query_vars( $args );

		/**
		 * Fires before terms are retrieved.
		 *
		 * @since 4.6.0
		 *
		 * @param WP_Term_Query $query Current instance of WP_Term_Query (passed by reference).
		 */
		do_action_ref_array( 'pre_get_terms', array( &$this ) );

		$taxonomies = (array) $args['taxonomy'];

		// Save queries by not crawling the tree in the case of multiple taxes or a flat tax.
		$has_hierarchical_tax = false;
		if ( $taxonomies ) {
			foreach ( $taxonomies as $_tax ) {
				if ( is_taxonomy_hierarchical( $_tax ) ) {
					$has_hierarchical_tax = true;
				}
			}
		} else {
			// When no taxonomies are provided, assume we have to descend the tree.
			$has_hierarchical_tax = true;
		}

		if ( ! $has_hierarchical_tax ) {
			$args['hierarchical'] = false;
			$args['pad_counts']   = false;
		}

		// 'parent' overrides 'child_of'.
		if ( 0 < (int) $args['parent'] ) {
			$args['child_of'] = false;
		}

		if ( 'all' === $args['get'] ) {
			$args['childless']    = false;
			$args['child_of']     = 0;
			$args['hide_empty']   = 0;
			$args['hierarchical'] = false;
			$args['pad_counts']   = false;
		}

		/**
		 * Filters the terms query arguments.
		 *
		 * @since 3.1.0
		 *
		 * @param array    $args       An array of get_terms() arguments.
		 * @param string[] $taxonomies An array of taxonomy names.
		 */
		$args = apply_filters( 'get_terms_args', $args, $taxonomies );

		// Avoid the query if the queried parent/child_of term has no descendants.
		$child_of = $args['child_of'];
		$parent   = $args['parent'];

		if ( $child_of ) {
			$_parent = $child_of;
		} elseif ( $parent ) {
			$_parent = $parent;
		} else {
			$_parent = false;
		}

		if ( $_parent ) {
			$in_hierarchy = false;
			foreach ( $taxonomies as $_tax ) {
				$hierarchy = _get_term_hierarchy( $_tax );

				if ( isset( $hierarchy[ $_parent ] ) ) {
					$in_hierarchy = true;
				}
			}

			if ( ! $in_hierarchy ) {
				if ( 'count' === $args['fields'] ) {
					return 0;
				} else {
					$this->terms = array();
					return $this->terms;
				}
			}
		}

		// 'term_order' is a legal sort order only when joining the relationship table.
		$_orderby = $this->query_vars['orderby'];
		if ( 'term_order' === $_orderby && empty( $this->query_vars['object_ids'] ) ) {
			$_orderby = 'term_id';
		}

		$orderby = $this->parse_orderby( $_orderby );

		if ( $orderby ) {
			$orderby = "ORDER BY $orderby";
		}

		$order = $this->parse_order( $this->query_vars['order'] );

		if ( $taxonomies ) {
			$this->sql_clauses['where']['taxonomy'] =
				"tt.taxonomy IN ('" . implode( "', '", array_map( 'esc_sql', $taxonomies ) ) . "')";
		}

		if ( empty( $args['exclude'] ) ) {
			$args['exclude'] = array();
		}

		if ( empty( $args['include'] ) ) {
			$args['include'] = array();
		}

		$exclude      = $args['exclude'];
		$exclude_tree = $args['exclude_tree'];
		$include      = $args['include'];

		$inclusions = '';
		if ( ! empty( $include ) ) {
			$exclude      = '';
			$exclude_tree = '';
			$inclusions   = implode( ',', wp_parse_id_list( $include ) );
		}

		if ( ! empty( $inclusions ) ) {
			$this->sql_clauses['where']['inclusions'] = 't.term_id IN ( ' . $inclusions . ' )';
		}

		$exclusions = array();
		if ( ! empty( $exclude_tree ) ) {
			$exclude_tree      = wp_parse_id_list( $exclude_tree );
			$excluded_children = $exclude_tree;

			foreach ( $exclude_tree as $extrunk ) {
				$excluded_children = array_merge(
					$excluded_children,
					(array) get_terms(
						array(
							'taxonomy'   => reset( $taxonomies ),
							'child_of'   => (int) $extrunk,
							'fields'     => 'ids',
							'hide_empty' => 0,
						)
					)
				);
			}

			$exclusions = array_merge( $excluded_children, $exclusions );
		}

		if ( ! empty( $exclude ) ) {
			$exclusions = array_merge( wp_parse_id_list( $exclude ), $exclusions );
		}

		// 'childless' terms are those without an entry in the flattened term hierarchy.
		$childless = (bool) $args['childless'];
		if ( $childless ) {
			foreach ( $taxonomies as $_tax ) {
				$term_hierarchy = _get_term_hierarchy( $_tax );
				$exclusions     = array_merge( array_keys( $term_hierarchy ), $exclusions );
			}
		}

		if ( ! empty( $exclusions ) ) {
			$exclusions = 't.term_id NOT IN (' . implode( ',', array_map( 'intval', $exclusions ) ) . ')';
		} else {
			$exclusions = '';
		}

		/**
		 * Filters the terms to exclude from the terms query.
		 *
		 * @since 2.3.0
		 *
		 * @param string   $exclusions `NOT IN` clause of the terms query.
		 * @param array    $args       An array of terms query arguments.
		 * @param string[] $taxonomies An array of taxonomy names.
		 */
		$exclusions = apply_filters( 'list_terms_exclusions', $exclusions, $args, $taxonomies );

		if ( ! empty( $exclusions ) ) {
			// Strip leading 'AND'. Must do string manipulation here for backward compatibility with filter.
			$this->sql_clauses['where']['exclusions'] = preg_replace( '/^\s*AND\s*/', '', $exclusions );
		}

		if ( '' === $args['name'] ) {
			$args['name'] = array();
		} else {
			$args['name'] = (array) $args['name'];
		}

		if ( ! empty( $args['name'] ) ) {
			$names = $args['name'];

			foreach ( $names as &$_name ) {
				// `sanitize_term_field()` returns slashed data.
				$_name = stripslashes( sanitize_term_field( 'name', $_name, 0, reset( $taxonomies ), 'db' ) );
			}

			$this->sql_clauses['where']['name'] = "t.name IN ('" . implode( "', '", array_map( 'esc_sql', $names ) ) . "')";
		}

		if ( '' === $args['slug'] ) {
			$args['slug'] = array();
		} else {
			$args['slug'] = array_map( 'sanitize_title', (array) $args['slug'] );
		}

		if ( ! empty( $args['slug'] ) ) {
			$slug = implode( "', '", $args['slug'] );

			$this->sql_clauses['where']['slug'] = "t.slug IN ('" . $slug . "')";
		}

		if ( '' === $args['term_taxonomy_id'] ) {
			$args['term_taxonomy_id'] = array();
		} else {
			$args['term_taxonomy_id'] = array_map( 'intval', (array) $args['term_taxonomy_id'] );
		}

		if ( ! empty( $args['term_taxonomy_id'] ) ) {
			$tt_ids = implode( ',', $args['term_taxonomy_id'] );

			$this->sql_clauses['where']['term_taxonomy_id'] = "tt.term_taxonomy_id IN ({$tt_ids})";
		}

		if ( ! empty( $args['name__like'] ) ) {
			$this->sql_clauses['where']['name__like'] = $wpdb->prepare(
				't.name LIKE %s',
				'%' . $wpdb->esc_like( $args['name__like'] ) . '%'
			);
		}

		if ( ! empty( $args['description__like'] ) ) {
			$this->sql_clauses['where']['description__like'] = $wpdb->prepare(
				'tt.description LIKE %s',
				'%' . $wpdb->esc_like( $args['description__like'] ) . '%'
			);
		}

		if ( '' === $args['object_ids'] ) {
			$args['object_ids'] = array();
		} else {
			$args['object_ids'] = array_map( 'intval', (array) $args['object_ids'] );
		}

		if ( ! empty( $args['object_ids'] ) ) {
			$object_ids = implode( ', ', $args['object_ids'] );

			$this->sql_clauses['where']['object_ids'] = "tr.object_id IN ($object_ids)";
		}

		/*
		 * When querying for object relationships, the 'count > 0' check
		 * added by 'hide_empty' is superfluous.
		 */
		if ( ! empty( $args['object_ids'] ) ) {
			$args['hide_empty'] = false;
		}

		if ( '' !== $parent ) {
			$parent                               = (int) $parent;
			$this->sql_clauses['where']['parent'] = "tt.parent = '$parent'";
		}

		$hierarchical = $args['hierarchical'];
		if ( 'count' === $args['fields'] ) {
			$hierarchical = false;
		}
		if ( $args['hide_empty'] && ! $hierarchical ) {
			$this->sql_clauses['where']['count'] = 'tt.count > 0';
		}

		$number = $args['number'];
		$offset = $args['offset'];

		// Don't limit the query results when we have to descend the family tree.
		if ( $number && ! $hierarchical && ! $child_of && '' === $parent ) {
			if ( $offset ) {
				$limits = 'LIMIT ' . $offset . ',' . $number;
			} else {
				$limits = 'LIMIT ' . $number;
			}
		} else {
			$limits = '';
		}

		if ( ! empty( $args['search'] ) ) {
			$this->sql_clauses['where']['search'] = $this->get_search_sql( $args['search'] );
		}

		// Meta query support.
		$join     = '';
		$distinct = '';

		// Reparse meta_query query_vars, in case they were modified in a 'pre_get_terms' callback.
		$this->meta_query->parse_query_vars( $this->query_vars );
		$mq_sql       = $this->meta_query->get_sql( 'term', 't', 'term_id' );
		$meta_clauses = $this->meta_query->get_clauses();

		if ( ! empty( $meta_clauses ) ) {
			$join .= $mq_sql['join'];

			// Strip leading 'AND'.
			$this->sql_clauses['where']['meta_query'] = preg_replace( '/^\s*AND\s*/', '', $mq_sql['where'] );

			$distinct .= 'DISTINCT';

		}

		$selects = array();
		switch ( $args['fields'] ) {
			case 'count':
				$orderby = '';
				$order   = '';
				$selects = array( 'COUNT(*)' );
				break;
			default:
				$selects = array( 't.term_id' );
				if ( 'all_with_object_id' === $args['fields'] && ! empty( $args['object_ids'] ) ) {
					$selects[] = 'tr.object_id';
				}
				break;
		}

		$_fields = $args['fields'];

		/**
		 * Filters the fields to select in the terms query.
		 *
		 * Field lists modified using this filter will only modify the term fields returned
		 * by the function when the `$fields` parameter set to 'count' or 'all'. In all other
		 * cases, the term fields in the results array will be determined by the `$fields`
		 * parameter alone.
		 *
		 * Use of this filter can result in unpredictable behavior, and is not recommended.
		 *
		 * @since 2.8.0
		 *
		 * @param string[] $selects    An array of fields to select for the terms query.
		 * @param array    $args       An array of term query arguments.
		 * @param string[] $taxonomies An array of taxonomy names.
		 */
		$fields = implode( ', ', apply_filters( 'get_terms_fields', $selects, $args, $taxonomies ) );

		$join .= " INNER JOIN $wpdb->term_taxonomy AS tt ON t.term_id = tt.term_id";

		if ( ! empty( $this->query_vars['object_ids'] ) ) {
			$join    .= " INNER JOIN {$wpdb->term_relationships} AS tr ON tr.term_taxonomy_id = tt.term_taxonomy_id";
			$distinct = 'DISTINCT';
		}

		$where = implode( ' AND ', $this->sql_clauses['where'] );

		$pieces = array( 'fields', 'join', 'where', 'distinct', 'orderby', 'order', 'limits' );

		/**
		 * Filters the terms query SQL clauses.
		 *
		 * @since 3.1.0
		 *
		 * @param string[] $clauses {
		 *     Associative array of the clauses for the query.
		 *
		 *     @type string $fields   The SELECT clause of the query.
		 *     @type string $join     The JOIN clause of the query.
		 *     @type string $where    The WHERE clause of the query.
		 *     @type string $distinct The DISTINCT clause of the query.
		 *     @type string $orderby  The ORDER BY clause of the query.
		 *     @type string $order    The ORDER clause of the query.
		 *     @type string $limits   The LIMIT clause of the query.
		 * }
		 * @param string[] $taxonomies An array of taxonomy names.
		 * @param array    $args       An array of term query arguments.
		 */
		$clauses = apply_filters( 'terms_clauses', compact( $pieces ), $taxonomies, $args );

		$fields   = isset( $clauses['fields'] ) ? $clauses['fields'] : '';
		$join     = isset( $clauses['join'] ) ? $clauses['join'] : '';
		$where    = isset( $clauses['where'] ) ? $clauses['where'] : '';
		$distinct = isset( $clauses['distinct'] ) ? $clauses['distinct'] : '';
		$orderby  = isset( $clauses['orderby'] ) ? $clauses['orderby'] : '';
		$order    = isset( $clauses['order'] ) ? $clauses['order'] : '';
		$limits   = isset( $clauses['limits'] ) ? $clauses['limits'] : '';

		$fields_is_filtered = implode( ', ', $selects ) !== $fields;

		if ( $where ) {
			$where = "WHERE $where";
		}

		$this->sql_clauses['select']  = "SELECT $distinct $fields";
		$this->sql_clauses['from']    = "FROM $wpdb->terms AS t $join";
		$this->sql_clauses['orderby'] = $orderby ? "$orderby $order" : '';
		$this->sql_clauses['limits']  = $limits;

		// Beginning of the string is on a new line to prevent leading whitespace. See https://core.trac.wordpress.org/ticket/56841.
		$this->request =
			"{$this->sql_clauses['select']}
			 {$this->sql_clauses['from']}
			 {$where}
			 {$this->sql_clauses['orderby']}
			 {$this->sql_clauses['limits']}";

		$this->terms = null;

		/**
		 * Filters the terms array before the query takes place.
		 *
		 * Return a non-null value to bypass WordPress' default term queries.
		 *
		 * @since 5.3.0
		 *
		 * @param array|null    $terms Return an array of term data to short-circuit WP's term query,
		 *                             or null to allow WP queries to run normally.
		 * @param WP_Term_Query $query The WP_Term_Query instance, passed by reference.
		 */
		$this->terms = apply_filters_ref_array( 'terms_pre_query', array( $this->terms, &$this ) );

		if ( null !== $this->terms ) {
			return $this->terms;
		}

		if ( $args['cache_results'] ) {
			$cache_key = $this->generate_cache_key( $args, $this->request );
			$cache     = wp_cache_get( $cache_key, 'term-queries' );

			if ( false !== $cache ) {
				if ( 'ids' === $_fields ) {
					$cache = array_map( 'intval', $cache );
				} elseif ( 'count' !== $_fields ) {
					if ( ( 'all_with_object_id' === $_fields && ! empty( $args['object_ids'] ) )
					|| ( 'all' === $_fields && $args['pad_counts'] || $fields_is_filtered )
					) {
						$term_ids = wp_list_pluck( $cache, 'term_id' );
					} else {
						$term_ids = array_map( 'intval', $cache );
					}

					_prime_term_caches( $term_ids, $args['update_term_meta_cache'] );

					$term_objects = $this->populate_terms( $cache );
					$cache        = $this->format_terms( $term_objects, $_fields );
				}

				$this->terms = $cache;
				return $this->terms;
			}
		}

		if ( 'count' === $_fields ) {
			$count = $wpdb->get_var( $this->request ); // phpcs:ignore WordPress.DB.PreparedSQL.NotPrepared
			if ( $args['cache_results'] ) {
				wp_cache_set( $cache_key, $count, 'term-queries' );
			}
			return $count;
		}

		$terms = $wpdb->get_results( $this->request ); // phpcs:ignore WordPress.DB.PreparedSQL.NotPrepared

		if ( empty( $terms ) ) {
			if ( $args['cache_results'] ) {
				wp_cache_add( $cache_key, array(), 'term-queries' );
			}
			return array();
		}

		$term_ids = wp_list_pluck( $terms, 'term_id' );
		_prime_term_caches( $term_ids, false );
		$term_objects = $this->populate_terms( $terms );

		if ( $child_of ) {
			foreach ( $taxonomies as $_tax ) {
				$children = _get_term_hierarchy( $_tax );
				if ( ! empty( $children ) ) {
					$term_objects = _get_term_children( $child_of, $term_objects, $_tax );
				}
			}
		}

		// Update term counts to include children.
		if ( $args['pad_counts'] && 'all' === $_fields ) {
			foreach ( $taxonomies as $_tax ) {
				_pad_term_counts( $term_objects, $_tax );
			}
		}

		// Make sure we show empty categories that have children.
		if ( $hierarchical && $args['hide_empty'] && is_array( $term_objects ) ) {
			foreach ( $term_objects as $k => $term ) {
				if ( ! $term->count ) {
					$children = get_term_children( $term->term_id, $term->taxonomy );

					if ( is_array( $children ) ) {
						foreach ( $children as $child_id ) {
							$child = get_term( $child_id, $term->taxonomy );
							if ( $child->count ) {
								continue 2;
							}
						}
					}

					// It really is empty.
					unset( $term_objects[ $k ] );
				}
			}
		}

		// Hierarchical queries are not limited, so 'offset' and 'number' must be handled now.
		if ( $hierarchical && $number && is_array( $term_objects ) ) {
			if ( $offset >= count( $term_objects ) ) {
				$term_objects = array();
			} else {
				$term_objects = array_slice( $term_objects, $offset, $number, true );
			}
		}

		// Prime termmeta cache.
		if ( $args['update_term_meta_cache'] ) {
			$term_ids = wp_list_pluck( $term_objects, 'term_id' );
			wp_lazyload_term_meta( $term_ids );
		}

		if ( 'all_with_object_id' === $_fields && ! empty( $args['object_ids'] ) ) {
			$term_cache = array();
			foreach ( $term_objects as $term ) {
				$object            = new stdClass();
				$object->term_id   = $term->term_id;
				$object->object_id = $term->object_id;
				$term_cache[]      = $object;
			}
		} elseif ( 'all' === $_fields && $args['pad_counts'] ) {
			$term_cache = array();
			foreach ( $term_objects as $term ) {
				$object          = new stdClass();
				$object->term_id = $term->term_id;
				$object->count   = $term->count;
				$term_cache[]    = $object;
			}
		} elseif ( $fields_is_filtered ) {
			$term_cache = $term_objects;
		} else {
			$term_cache = wp_list_pluck( $term_objects, 'term_id' );
		}

		if ( $args['cache_results'] ) {
			wp_cache_add( $cache_key, $term_cache, 'term-queries' );
		}

		$this->terms = $this->format_terms( $term_objects, $_fields );

		return $this->terms;
	}

	/**
	 * Parse and sanitize 'orderby' keys passed to the term query.
	 *
	 * @since 4.6.0
	 *
	 * @param string $orderby_raw Alias for the field to order by.
	 * @return string|false Value to used in the ORDER clause. False otherwise.
	 */
	protected function parse_orderby( $orderby_raw ) {
		$_orderby           = strtolower( $orderby_raw );
		$maybe_orderby_meta = false;

		if ( in_array( $_orderby, array( 'term_id', 'name', 'slug', 'term_group' ), true ) ) {
			$orderby = "t.$_orderby";
		} elseif ( in_array( $_orderby, array( 'count', 'parent', 'taxonomy', 'term_taxonomy_id', 'description' ), true ) ) {
			$orderby = "tt.$_orderby";
		} elseif ( 'term_order' === $_orderby ) {
			$orderby = 'tr.term_order';
		} elseif ( 'include' === $_orderby && ! empty( $this->query_vars['include'] ) ) {
			$include = implode( ',', wp_parse_id_list( $this->query_vars['include'] ) );
			$orderby = "FIELD( t.term_id, $include )";
		} elseif ( 'slug__in' === $_orderby && ! empty( $this->query_vars['slug'] ) && is_array( $this->query_vars['slug'] ) ) {
			$slugs   = implode( "', '", array_map( 'sanitize_title_for_query', $this->query_vars['slug'] ) );
			$orderby = "FIELD( t.slug, '" . $slugs . "')";
		} elseif ( 'none' === $_orderby ) {
			$orderby = '';
		} elseif ( empty( $_orderby ) || 'id' === $_orderby || 'term_id' === $_orderby ) {
			$orderby = 't.term_id';
		} else {
			$orderby = 't.name';

			// This may be a value of orderby related to meta.
			$maybe_orderby_meta = true;
		}

		/**
		 * Filters the ORDERBY clause of the terms query.
		 *
		 * @since 2.8.0
		 *
		 * @param string   $orderby    `ORDERBY` clause of the terms query.
		 * @param array    $args       An array of term query arguments.
		 * @param string[] $taxonomies An array of taxonomy names.
		 */
		$orderby = apply_filters( 'get_terms_orderby', $orderby, $this->query_vars, $this->query_vars['taxonomy'] );

		// Run after the 'get_terms_orderby' filter for backward compatibility.
		if ( $maybe_orderby_meta ) {
			$maybe_orderby_meta = $this->parse_orderby_meta( $_orderby );
			if ( $maybe_orderby_meta ) {
				$orderby = $maybe_orderby_meta;
			}
		}

		return $orderby;
	}

	/**
	 * Format response depending on field requested.
	 *
	 * @since 6.0.0
	 *
	 * @param WP_Term[] $term_objects Array of term objects.
	 * @param string    $_fields      Field to format.
	 *
	 * @return WP_Term[]|int[]|string[] Array of terms / strings / ints depending on field requested.
	 */
	protected function format_terms( $term_objects, $_fields ) {
		$_terms = array();
		if ( 'id=>parent' === $_fields ) {
			foreach ( $term_objects as $term ) {
				$_terms[ $term->term_id ] = $term->parent;
			}
		} elseif ( 'ids' === $_fields ) {
			foreach ( $term_objects as $term ) {
				$_terms[] = (int) $term->term_id;
			}
		} elseif ( 'tt_ids' === $_fields ) {
			foreach ( $term_objects as $term ) {
				$_terms[] = (int) $term->term_taxonomy_id;
			}
		} elseif ( 'names' === $_fields ) {
			foreach ( $term_objects as $term ) {
				$_terms[] = $term->name;
			}
		} elseif ( 'slugs' === $_fields ) {
			foreach ( $term_objects as $term ) {
				$_terms[] = $term->slug;
			}
		} elseif ( 'id=>name' === $_fields ) {
			foreach ( $term_objects as $term ) {
				$_terms[ $term->term_id ] = $term->name;
			}
		} elseif ( 'id=>slug' === $_fields ) {
			foreach ( $term_objects as $term ) {
				$_terms[ $term->term_id ] = $term->slug;
			}
		} elseif ( 'all' === $_fields || 'all_with_object_id' === $_fields ) {
			$_terms = $term_objects;
		}

		return $_terms;
	}

	/**
	 * Generate the ORDER BY clause for an 'orderby' param that is potentially related to a meta query.
	 *
	 * @since 4.6.0
	 *
	 * @param string $orderby_raw Raw 'orderby' value passed to WP_Term_Query.
	 * @return string ORDER BY clause.
	 */
	protected function parse_orderby_meta( $orderby_raw ) {
		$orderby = '';

		// Tell the meta query to generate its SQL, so we have access to table aliases.
		$this->meta_query->get_sql( 'term', 't', 'term_id' );
		$meta_clauses = $this->meta_query->get_clauses();
		if ( ! $meta_clauses || ! $orderby_raw ) {
			return $orderby;
		}

		$allowed_keys       = array();
		$primary_meta_key   = null;
		$primary_meta_query = reset( $meta_clauses );
		if ( ! empty( $primary_meta_query['key'] ) ) {
			$primary_meta_key = $primary_meta_query['key'];
			$allowed_keys[]   = $primary_meta_key;
		}
		$allowed_keys[] = 'meta_value';
		$allowed_keys[] = 'meta_value_num';
		$allowed_keys   = array_merge( $allowed_keys, array_keys( $meta_clauses ) );

		if ( ! in_array( $orderby_raw, $allowed_keys, true ) ) {
			return $orderby;
		}

		switch ( $orderby_raw ) {
			case $primary_meta_key:
			case 'meta_value':
				if ( ! empty( $primary_meta_query['type'] ) ) {
					$orderby = "CAST({$primary_meta_query['alias']}.meta_value AS {$primary_meta_query['cast']})";
				} else {
					$orderby = "{$primary_meta_query['alias']}.meta_value";
				}
				break;

			case 'meta_value_num':
				$orderby = "{$primary_meta_query['alias']}.meta_value+0";
				break;

			default:
				if ( array_key_exists( $orderby_raw, $meta_clauses ) ) {
					// $orderby corresponds to a meta_query clause.
					$meta_clause = $meta_clauses[ $orderby_raw ];
					$orderby     = "CAST({$meta_clause['alias']}.meta_value AS {$meta_clause['cast']})";
				}
				break;
		}

		return $orderby;
	}

	/**
	 * Parse an 'order' query variable and cast it to ASC or DESC as necessary.
	 *
	 * @since 4.6.0
	 *
	 * @param string $order The 'order' query variable.
	 * @return string The sanitized 'order' query variable.
	 */
	protected function parse_order( $order ) {
		if ( ! is_string( $order ) || empty( $order ) ) {
			return 'DESC';
		}

		if ( 'ASC' === strtoupper( $order ) ) {
			return 'ASC';
		} else {
			return 'DESC';
		}
	}

	/**
	 * Used internally to generate a SQL string related to the 'search' parameter.
	 *
	 * @since 4.6.0
	 *
	 * @global wpdb $wpdb WordPress database abstraction object.
	 *
	 * @param string $search Search string.
	 * @return string Search SQL.
	 */
	protected function get_search_sql( $search ) {
		global $wpdb;

		$like = '%' . $wpdb->esc_like( $search ) . '%';

		return $wpdb->prepare( '((t.name LIKE %s) OR (t.slug LIKE %s))', $like, $like );
	}

	/**
	 * Creates an array of term objects from an array of term IDs.
	 *
	 * Also discards invalid term objects.
	 *
	 * @since 4.9.8
	 *
	 * @param Object[]|int[] $terms List of objects or term ids.
	 * @return WP_Term[] Array of `WP_Term` objects.
	 */
	protected function populate_terms( $terms ) {
		$term_objects = array();
		if ( ! is_array( $terms ) ) {
			return $term_objects;
		}

		foreach ( $terms as $key => $term_data ) {
			if ( is_object( $term_data ) && property_exists( $term_data, 'term_id' ) ) {
				$term = get_term( $term_data->term_id );
				if ( property_exists( $term_data, 'object_id' ) ) {
					$term->object_id = (int) $term_data->object_id;
				}
				if ( property_exists( $term_data, 'count' ) ) {
					$term->count = (int) $term_data->count;
				}
			} else {
				$term = get_term( $term_data );
			}

			if ( $term instanceof WP_Term ) {
				$term_objects[ $key ] = $term;
			}
		}

		return $term_objects;
	}

	/**
	 * Generate cache key.
	 *
	 * @since 6.2.0
	 *
	 * @global wpdb $wpdb WordPress database abstraction object.
	 *
	 * @param array  $args WP_Term_Query arguments.
	 * @param string $sql  SQL statement.
	 *
	 * @return string Cache key.
	 */
	protected function generate_cache_key( array $args, $sql ) {
		global $wpdb;
		// $args can be anything. Only use the args defined in defaults to compute the key.
		$cache_args = wp_array_slice_assoc( $args, array_keys( $this->query_var_defaults ) );

		unset( $cache_args['cache_results'], $cache_args['update_term_meta_cache'] );

		if ( 'count' !== $args['fields'] && 'all_with_object_id' !== $args['fields'] ) {
			$cache_args['fields'] = 'all';
		}
		$taxonomies = (array) $args['taxonomy'];

		// Replace wpdb placeholder in the SQL statement used by the cache key.
		$sql = $wpdb->remove_placeholder_escape( $sql );

		$key          = md5( serialize( $cache_args ) . serialize( $taxonomies ) . $sql );
		$last_changed = wp_cache_get_last_changed( 'terms' );
		return "get_terms:$key:$last_changed";
	}
}
© 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

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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

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      • 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

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        Benefits and Advantages<\/h2>\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

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        Smart SaaS Usage Optimization<\/h2>\n

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        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

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

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        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

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        Case Studies<\/h2>\n

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        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

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        Final Thoughts<\/h2>\n

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        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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