-- Table structure for table `units`
--

CREATE TABLE `units` (
  `id` int(10) unsigned NOT NULL AUTO_INCREMENT,
  `business_id` int(10) unsigned NOT NULL,
  `actual_name` varchar(191) NOT NULL,
  `short_name` varchar(191) NOT NULL,
  `allow_decimal` tinyint(1) NOT NULL,
  `base_unit_id` int(11) DEFAULT NULL,
  `base_unit_multiplier` decimal(20,4) DEFAULT NULL,
  `created_by` int(10) unsigned NOT NULL,
  `deleted_at` timestamp NULL DEFAULT NULL,
  `created_at` timestamp NULL DEFAULT NULL,
  `updated_at` timestamp NULL DEFAULT NULL,
  PRIMARY KEY (`id`),
  KEY `units_business_id_foreign` (`business_id`),
  KEY `units_created_by_foreign` (`created_by`),
  KEY `units_base_unit_id_index` (`base_unit_id`),
  CONSTRAINT `units_business_id_foreign` FOREIGN KEY (`business_id`) REFERENCES `business` (`id`) ON DELETE CASCADE,
  CONSTRAINT `units_created_by_foreign` FOREIGN KEY (`created_by`) REFERENCES `users` (`id`) ON DELETE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=9 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

--
-- Dumping data for table `units`
--

INSERT INTO `units` VALUES (1,1,'Pcs','Pc(s)',0,NULL,NULL,2,NULL,'2023-03-21 03:58:57','2023-03-21 03:58:57'),(2,1,'lbs','lbs',0,NULL,NULL,2,NULL,'2023-03-20 19:31:02','2023-03-20 19:31:02'),(4,1,'lb','lb',0,NULL,NULL,2,NULL,'2023-04-27 16:02:58','2023-04-27 16:02:58'),(5,1,'oz','oz',0,NULL,NULL,2,NULL,'2023-04-27 16:03:28','2023-04-27 16:03:28'),(6,1,'kg','kg',0,NULL,NULL,2,NULL,'2023-07-17 06:35:29','2023-07-17 06:35:29'),(7,1,'EACH','EACH',0,NULL,NULL,2,NULL,'2023-07-17 06:45:15','2023-07-17 06:45:15'),(8,4,'Pieces','Pc(s)',0,NULL,NULL,11,NULL,'2025-01-17 19:28:47','2025-01-17 19:28:47');

--
-- Table structure for table `user_contact_access`
--

CREATE TABLE `user_contact_access` (
  `id` int(10) unsigned NOT NULL AUTO_INCREMENT,
  `user_id` int(11) NOT NULL,
  `contact_id` int(11) NOT NULL,
  PRIMARY KEY (`id`),
  KEY `user_contact_access_user_id_index` (`user_id`),
  KEY `user_contact_access_contact_id_index` (`contact_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

--
-- Dumping data for table `user_contact_access`
--


--
-- Table structure for table `variation_group_prices`
--

CREATE TABLE `variation_group_prices` (
  `id` int(10) unsigned NOT NULL AUTO_INCREMENT,
  `variation_id` int(10) unsigned NOT NULL,
  `price_group_id` int(10) unsigned NOT NULL,
  `price_inc_tax` decimal(22,4) NOT NULL,
  `created_at` timestamp NULL DEFAULT NULL,
  `updated_at` timestamp NULL DEFAULT NULL,
  PRIMARY KEY (`id`),
  KEY `variation_group_prices_variation_id_foreign` (`variation_id`),
  KEY `variation_group_prices_price_group_id_foreign` (`price_group_id`),
  CONSTRAINT `variation_group_prices_price_group_id_foreign` FOREIGN KEY (`price_group_id`) REFERENCES `selling_price_groups` (`id`) ON DELETE CASCADE,
  CONSTRAINT `variation_group_prices_variation_id_foreign` FOREIGN KEY (`variation_id`) REFERENCES `variations` (`id`) ON DELETE CASCADE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

--
-- Dumping data for table `variation_group_prices`
--


--
-- Table structure for table `variation_location_details`
--

CREATE TABLE `variation_location_details` (
  `id` int(10) unsigned NOT NULL AUTO_INCREMENT,
  `product_id` int(10) unsigned NOT NULL,
  `product_variation_id` int(10) unsigned NOT NULL COMMENT 'id from product_variations table',
  `variation_id` int(10) unsigned NOT NULL,
  `location_id` int(10) unsigned NOT NULL,
  `qty_available` decimal(22,4) NOT NULL DEFAULT 0.0000,
  `created_at` timestamp NULL DEFAULT NULL,
  `updated_at` timestamp NULL DEFAULT NULL,
  PRIMARY KEY (`id`),
  KEY `variation_location_details_location_id_foreign` (`location_id`),
  KEY `variation_location_details_product_id_index` (`product_id`),
  KEY `variation_location_details_product_variation_id_index` (`product_variation_id`),
  KEY `variation_location_details_variation_id_index` (`variation_id`),
  CONSTRAINT `variation_location_details_location_id_foreign` FOREIGN KEY (`location_id`) REFERENCES `business_locations` (`id`),
  CONSTRAINT `variation_location_details_variation_id_foreign` FOREIGN KEY (`variation_id`) REFERENCES `variations` (`id`) ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=277615 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

--
-- Dumping data for table `variation_location_details`
--

INSERT INTO `variation_location_details` VALUES (277614,504307,534994,270972,1,15.0000,'2025-02-14 02:49:26','2025-02-14 02:49:26');

--
-- Table structure for table `variation_templates`
--

CREATE TABLE `variation_templates` (
  `id` int(10) unsigned NOT NULL AUTO_INCREMENT,
  `name` varchar(191) NOT NULL,
  `business_id` int(10) unsigned NOT NULL,
  `created_at` timestamp NULL DEFAULT NULL,
  `updated_at` timestamp NULL DEFAULT NULL,
  PRIMARY KEY (`id`),
  KEY `variation_templates_business_id_foreign` (`business_id`),
  CONSTRAINT `variation_templates_business_id_foreign` FOREIGN KEY (`business_id`) REFERENCES `business` (`id`) ON DELETE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=7 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

--
-- Dumping data for table `variation_templates`
--

INSERT INTO `variation_templates` VALUES (1,'VHPOS (Color Black)',1,'2023-05-18 14:42:54','2023-05-18 14:42:54');

--
-- Table structure for table `variation_value_templates`
--

CREATE TABLE `variation_value_templates` (
  `id` int(10) unsigned NOT NULL AUTO_INCREMENT,
  `name` varchar(191) NOT NULL,
  `variation_template_id` int(10) unsigned NOT NULL,
  `created_at` timestamp NULL DEFAULT NULL,
  `updated_at` timestamp NULL DEFAULT NULL,
  PRIMARY KEY (`id`),
  KEY `variation_value_templates_name_index` (`name`),
  KEY `variation_value_templates_variation_template_id_index` (`variation_template_id`),
  CONSTRAINT `variation_value_templates_variation_template_id_foreign` FOREIGN KEY (`variation_template_id`) REFERENCES `variation_templates` (`id`) ON DELETE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=26 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

--
-- Dumping data for table `variation_value_templates`
--

INSERT INTO `variation_value_templates` VALUES (1,'10',1,'2023-05-18 14:42:54','2023-05-18 14:42:54'),(2,'11',1,'2023-05-18 14:42:54','2023-05-18 14:42:54'),(3,'13',1,'2023-05-18 14:42:54','2023-05-18 14:42:54'),(4,'14',1,'2023-05-18 14:42:54','2023-05-18 14:42:54'),(14,'12',1,'2023-05-22 13:29:25','2023-05-22 13:29:25');

--
-- Table structure for table `variations`
--

CREATE TABLE `variations` (
  `id` int(10) unsigned NOT NULL AUTO_INCREMENT,
  `name` varchar(191) NOT NULL,
  `product_id` int(10) unsigned NOT NULL,
  `sub_sku` varchar(191) DEFAULT NULL,
  `product_variation_id` int(10) unsigned NOT NULL,
  `variation_value_id` int(11) DEFAULT NULL,
  `default_purchase_price` decimal(22,4) DEFAULT NULL,
  `dpp_inc_tax` decimal(22,4) NOT NULL DEFAULT 0.0000,
  `profit_percent` decimal(22,4) NOT NULL DEFAULT 0.0000,
  `default_sell_price` decimal(22,4) DEFAULT NULL,
  `sell_price_inc_tax` decimal(22,4) DEFAULT NULL COMMENT 'Sell price including tax',
  `created_at` timestamp NULL DEFAULT NULL,
  `updated_at` timestamp NULL DEFAULT NULL,
  `deleted_at` timestamp NULL DEFAULT NULL,
  `combo_variations` text DEFAULT NULL COMMENT 'Contains the combo variation details',
  PRIMARY KEY (`id`),
  KEY `variations_product_id_foreign` (`product_id`),
  KEY `variations_product_variation_id_foreign` (`product_variation_id`),
  KEY `variations_name_index` (`name`),
  KEY `variations_sub_sku_index` (`sub_sku`),
  KEY `variations_variation_value_id_index` (`variation_value_id`),
  CONSTRAINT `variations_product_id_foreign` FOREIGN KEY (`product_id`) REFERENCES `products` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
  CONSTRAINT `variations_product_variation_id_foreign` FOREIGN KEY (`product_variation_id`) REFERENCES `product_variations` (`id`) ON DELETE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=270973 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

--
-- Dumping data for table `variations`
--

INSERT INTO `variations` VALUES (270972,'default_variant',504307,'123456',534994,NULL,0.0000,0.0000,0.0000,7.9900,7.9900,'2025-02-14 02:49:19','2025-02-14 02:49:19',NULL,'[]');

--
-- Table structure for table `vhai`
--

CREATE TABLE `vhai` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `prompt` longtext DEFAULT NULL,
  `answer` longtext DEFAULT NULL,
  `date` datetime DEFAULT current_timestamp(),
  `updated_at` datetime DEFAULT NULL,
  `created_at` datetime DEFAULT NULL,
  `embedding` longtext CHARACTER SET utf8mb4 COLLATE utf8mb4_bin DEFAULT NULL CHECK (json_valid(`embedding`)),
  PRIMARY KEY (`id`),
  FULLTEXT KEY `prompt` (`prompt`)
) ENGINE=InnoDB AUTO_INCREMENT=380 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_general_ci;

--
-- Dumping data for table `vhai`
--

INSERT INTO `vhai` VALUES (1,'prompt1','answer to prompt 1','2025-01-17 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you please tell me, how many products I have in Acma category?','SELECT COUNT(*) AS total_products\nFROM products\nWHERE category_id = (SELECT id FROM categories WHERE name = \'Acma\');','2025-01-19 05:56:40','2025-01-19 05:56:40','2025-01-19 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was the most selling product for the last 2 months?','SELECT p.name, SUM(tsl.quantity) as total_quantity \nFROM products p \nJOIN transaction_sell_lines tsl ON p.id = tsl.product_id \nJOIN transactions t ON tsl.transaction_id = t.id \nWHERE t.type = \"sell\" \nAND t.transaction_date >= DATE_SUB(CURRENT_DATE, INTERVAL 2 MONTH) \nGROUP BY p.id, p.name \nORDER BY total_quantity DESC \nLIMIT 1;','2025-01-24 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location has the highest revenue this year?','SELECT bl.name as location_name, SUM(t.final_total) as total_revenue \nFROM business_locations bl \nJOIN transactions t ON bl.id = t.location_id \nWHERE t.type = \"sell\" \nAND t.status = \"final\" \nAND YEAR(t.transaction_date) = YEAR(CURRENT_DATE) \nGROUP BY bl.id, bl.name \nORDER BY total_revenue DESC \nLIMIT 1;','2025-01-24 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is the current inventory value by category?','SELECT c.name as category_name, SUM(p.enable_stock * v.default_purchase_price) as inventory_value \nFROM categories c \nJOIN products p ON c.id = p.category_id \nJOIN variations v ON p.id = v.product_id \nWHERE p.enable_stock = 1 \nGROUP BY c.id, c.name \nORDER BY inventory_value DESC;','2025-01-24 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is the customer lifetime value by segment?','SELECT \n    cg.name as customer_group,\n    COUNT(DISTINCT c.id) as customer_count,\n    SUM(t.final_total) as total_revenue,\n    SUM(t.final_total)/COUNT(DISTINCT c.id) as avg_customer_value\nFROM customer_groups cg\nJOIN contacts c ON c.customer_group_id = cg.id\nJOIN transactions t ON t.contact_id = c.id\nWHERE t.type = \"sell\" AND t.status = \"final\"\nGROUP BY cg.id, cg.name\nORDER BY avg_customer_value DESC;','2025-01-24 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products have the highest profit margin?','SELECT \n    p.name,\n    v.default_sell_price - v.default_purchase_price as margin,\n    ((v.default_sell_price - v.default_purchase_price)/v.default_purchase_price * 100) as margin_percentage\nFROM products p\nJOIN variations v ON p.id = v.product_id\nWHERE v.default_purchase_price > 0\nORDER BY margin_percentage DESC\nLIMIT 10;','2025-01-24 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is the hourly sales pattern by day type?','SELECT \n    HOUR(t.transaction_date) as hour_of_day,\n    DAYNAME(t.transaction_date) as day_of_week,\n    COUNT(*) as transaction_count,\n    SUM(t.final_total) as total_sales\nFROM transactions t\nWHERE t.type = \"sell\" \nAND t.status = \"final\"\nAND t.transaction_date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY)\nGROUP BY HOUR(t.transaction_date), DAYNAME(t.transaction_date)\nORDER BY day_of_week, hour_of_day;','2025-01-24 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products are frequently purchased together?','SELECT \n    p1.name as product1,\n    p2.name as product2,\n    COUNT(*) as frequency\nFROM transaction_sell_lines tsl1\nJOIN transaction_sell_lines tsl2 ON tsl1.transaction_id = tsl2.transaction_id\nJOIN products p1 ON tsl1.product_id = p1.id\nJOIN products p2 ON tsl2.product_id = p2.id\nWHERE tsl1.product_id < tsl2.product_id\nGROUP BY p1.id, p2.id, p1.name, p2.name\nHAVING COUNT(*) > 5\nORDER BY frequency DESC\nLIMIT 10;','2025-01-24 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is the impact of promotions on sales volume?','SELECT \n    CASE WHEN tsl.line_discount_amount > 0 THEN \"Discounted\" ELSE \"Regular\" END as sale_type,\n    COUNT(DISTINCT t.id) as transaction_count,\n    SUM(tsl.quantity) as total_quantity,\n    SUM(t.final_total) as total_revenue\nFROM transactions t\nJOIN transaction_sell_lines tsl ON t.id = tsl.transaction_id\nWHERE t.type = \"sell\" AND t.status = \"final\"\nGROUP BY CASE WHEN tsl.line_discount_amount > 0 THEN \"Discounted\" ELSE \"Regular\" END;','2025-01-24 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is the stock turnover rate for each product?','SELECT \n    p.name,\n    p.sku,\n    SUM(tsl.quantity) as total_sold,\n    COALESCE(vld.qty_available, 0) as current_stock,\n    CASE \n        WHEN COALESCE(vld.qty_available, 0) > 0 \n        THEN SUM(tsl.quantity)/COALESCE(vld.qty_available, 1) \n        ELSE 0 \n    END as turnover_rate\nFROM products p\nLEFT JOIN transaction_sell_lines tsl ON p.id = tsl.product_id\nLEFT JOIN variation_location_details vld ON p.id = vld.product_id\nWHERE p.enable_stock = 1\nGROUP BY p.id, p.name, p.sku, vld.qty_available\nORDER BY turnover_rate DESC;','2025-01-24 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customers are at risk of churning?','SELECT \n    c.name as customer_name,\n    MAX(t.transaction_date) as last_purchase_date,\n    DATEDIFF(CURRENT_DATE, MAX(t.transaction_date)) as days_since_last_purchase,\n    COUNT(t.id) as total_purchases,\n    SUM(t.final_total) as total_spent\nFROM contacts c\nLEFT JOIN transactions t ON c.id = t.contact_id\nWHERE t.type = \"sell\" AND t.status = \"final\"\nGROUP BY c.id, c.name\nHAVING days_since_last_purchase > 90\nORDER BY days_since_last_purchase DESC;','2025-01-24 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is the average processing time for each order?','SELECT \n    DATE(t.transaction_date) as sale_date,\n    COUNT(t.id) as total_orders,\n    AVG(TIMESTAMPDIFF(MINUTE, t.created_at, t.updated_at)) as avg_processing_time_minutes\nFROM transactions t\nWHERE t.type = \"sell\" \nAND t.status = \"final\"\nAND t.created_at >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY)\nGROUP BY DATE(t.transaction_date)\nORDER BY sale_date;','2025-01-24 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product categories show consistent growth?','SELECT \n    c.name as category_name,\n    DATE_FORMAT(t.transaction_date, \"%Y-%m\") as month,\n    SUM(tsl.quantity) as total_quantity,\n    SUM(tsl.unit_price * tsl.quantity) as total_revenue,\n    (SUM(tsl.unit_price * tsl.quantity) - LAG(SUM(tsl.unit_price * tsl.quantity)) OVER \n        (PARTITION BY c.id ORDER BY DATE_FORMAT(t.transaction_date, \"%Y-%m\"))) as revenue_growth\nFROM categories c\nJOIN products p ON c.id = p.category_id\nJOIN transaction_sell_lines tsl ON p.id = tsl.product_id\nJOIN transactions t ON tsl.transaction_id = t.id\nWHERE t.type = \"sell\" AND t.status = \"final\"\nGROUP BY c.id, c.name, DATE_FORMAT(t.transaction_date, \"%Y-%m\")\nORDER BY c.name, month;','2025-01-24 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is the effect of price changes on sales volume?','SELECT \n    p.name,\n    tsl.unit_price_before_discount as price_point,\n    COUNT(DISTINCT t.id) as number_of_transactions,\n    SUM(tsl.quantity) as total_quantity_sold,\n    SUM(tsl.unit_price_before_discount * tsl.quantity) as total_revenue\nFROM products p\nJOIN transaction_sell_lines tsl ON p.id = tsl.product_id\nJOIN transactions t ON tsl.transaction_id = t.id\nWHERE t.type = \"sell\" \nAND t.status = \"final\"\nAND t.transaction_date >= DATE_SUB(CURRENT_DATE, INTERVAL 6 MONTH)\nGROUP BY p.id, p.name, tsl.unit_price_before_discount\nORDER BY p.name, price_point;','2025-01-24 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is the profitability by location and product category?','SELECT \n    bl.name as location_name,\n    c.name as category_name,\n    SUM(tsl.quantity) as total_quantity_sold,\n    SUM(tsl.unit_price_inc_tax * tsl.quantity) as total_revenue,\n    SUM((tsl.unit_price_inc_tax - tsl.unit_price_before_discount) * tsl.quantity) as total_margin,\n    (SUM((tsl.unit_price_inc_tax - tsl.unit_price_before_discount) * tsl.quantity) / \n     SUM(tsl.unit_price_inc_tax * tsl.quantity) * 100) as margin_percentage\nFROM business_locations bl\nJOIN transactions t ON bl.id = t.location_id\nJOIN transaction_sell_lines tsl ON t.id = tsl.transaction_id\nJOIN products p ON tsl.product_id = p.id\nJOIN categories c ON p.category_id = c.id\nWHERE t.type = \"sell\" AND t.status = \"final\"\nGROUP BY bl.id, bl.name, c.id, c.name\nORDER BY bl.name, margin_percentage DESC;','2025-01-24 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payment methods are most popular by location?','SELECT \n    bl.name as location_name,\n    tp.method,\n    COUNT(*) as transaction_count,\n    SUM(tp.amount) as total_amount,\n    (COUNT(*) * 100.0 / SUM(COUNT(*)) OVER (PARTITION BY bl.id)) as percentage_of_transactions\nFROM business_locations bl\nJOIN transactions t ON bl.id = t.location_id\nJOIN transaction_payments tp ON t.id = tp.transaction_id\nWHERE t.type = \"sell\" AND t.status = \"final\"\nGROUP BY bl.id, bl.name, tp.method\nORDER BY bl.name, transaction_count DESC;','2025-01-24 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is the average transaction value by hour and location?','SELECT \n    bl.name as location_name,\n    HOUR(t.transaction_date) as hour_of_day,\n    COUNT(*) as transaction_count,\n    AVG(t.final_total) as avg_transaction_value,\n    SUM(t.final_total) as total_revenue\nFROM business_locations bl\nJOIN transactions t ON bl.id = t.location_id\nWHERE t.type = \"sell\" \nAND t.status = \"final\"\nAND t.transaction_date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY)\nGROUP BY bl.id, bl.name, HOUR(t.transaction_date)\nORDER BY bl.name, hour_of_day;','2025-01-24 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is the employee sales performance by location?','SELECT \n    bl.name as location_name,\n    u.first_name as employee_name,\n    COUNT(DISTINCT t.id) as transaction_count,\n    SUM(t.final_total) as total_sales,\n    AVG(t.final_total) as avg_sale_value,\n    SUM(t.final_total)/COUNT(DISTINCT DATE(t.transaction_date)) as daily_avg_sales\nFROM business_locations bl\nJOIN transactions t ON bl.id = t.location_id\nJOIN users u ON t.created_by = u.id\nWHERE t.type = \"sell\" \nAND t.status = \"final\"\nAND t.transaction_date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY)\nGROUP BY bl.id, bl.name, u.id, u.first_name\nORDER BY bl.name, total_sales DESC;','2025-01-24 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is the inventory turnover ratio by location?','SELECT \n    bl.name as location_name,\n    p.name as product_name,\n    SUM(tsl.quantity) as quantity_sold,\n    vld.qty_available as current_stock,\n    CASE \n        WHEN vld.qty_available > 0 \n        THEN SUM(tsl.quantity)/vld.qty_available \n        ELSE 0 \n    END as turnover_ratio\nFROM business_locations bl\nJOIN transactions t ON bl.id = t.location_id\nJOIN transaction_sell_lines tsl ON t.id = tsl.transaction_id\nJOIN products p ON tsl.product_id = p.id\nLEFT JOIN variation_location_details vld ON p.id = vld.product_id AND bl.id = vld.location_id\nWHERE t.type = \"sell\" \nAND t.status = \"final\"\nAND t.transaction_date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY)\nGROUP BY bl.id, bl.name, p.id, p.name, vld.qty_available\nHAVING quantity_sold > 0\nORDER BY bl.name, turnover_ratio DESC;','2025-01-24 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is the conversion rate between product views and actual sales?','SELECT \n    p.name as product_name,\n    COUNT(DISTINCT t.id) as sales_count,\n    SUM(tsl.quantity) as units_sold,\n    SUM(tsl.unit_price_inc_tax * tsl.quantity) as revenue\nFROM products p\nLEFT JOIN transaction_sell_lines tsl ON p.id = tsl.product_id\nLEFT JOIN transactions t ON tsl.transaction_id = t.id\nWHERE t.type = \"sell\" AND t.status = \"final\"\nGROUP BY p.id, p.name\nORDER BY units_sold DESC;','2025-01-24 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products have shown the highest sales growth in the last quarter?','SELECT \n    p.name as product_name,\n    SUM(CASE \n        WHEN t.transaction_date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH)\n        THEN tsl.quantity \n        ELSE 0 \n    END) as current_quarter_sales,\n    SUM(CASE \n        WHEN t.transaction_date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 6 MONTH) \n        AND DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH)\n        THEN tsl.quantity \n        ELSE 0 \n    END) as previous_quarter_sales,\n    ((SUM(CASE \n        WHEN t.transaction_date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH)\n        THEN tsl.quantity \n        ELSE 0 \n    END) - \n    SUM(CASE \n        WHEN t.transaction_date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 6 MONTH) \n        AND DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH)\n        THEN tsl.quantity \n        ELSE 0 \n    END)) / \n    NULLIF(SUM(CASE \n        WHEN t.transaction_date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 6 MONTH) \n        AND DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH)\n        THEN tsl.quantity \n        ELSE 0 \n    END), 0) * 100) as growth_percentage\nFROM products p\nJOIN transaction_sell_lines tsl ON p.id = tsl.product_id\nJOIN transactions t ON tsl.transaction_id = t.id\nWHERE t.type = \"sell\" \nAND t.status = \"final\"\nAND t.transaction_date >= DATE_SUB(CURRENT_DATE, INTERVAL 6 MONTH)\nGROUP BY p.id, p.name\nHAVING current_quarter_sales > 0 OR previous_quarter_sales > 0\nORDER BY growth_percentage DESC;','2025-01-24 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is the average order value by day of the week?','SELECT \n    DAYNAME(t.transaction_date) as day_of_week,\n    COUNT(DISTINCT t.id) as number_of_orders,\n    AVG(t.final_total) as average_order_value,\n    SUM(t.final_total) as total_revenue\nFROM transactions t\nWHERE t.type = \"sell\" \nAND t.status = \"final\"\nAND t.transaction_date >= DATE_SUB(CURRENT_DATE, INTERVAL 30 DAY)\nGROUP BY DAYNAME(t.transaction_date)\nORDER BY FIELD(DAYNAME(t.transaction_date), \n    \"Monday\", \"Tuesday\", \"Wednesday\", \"Thursday\", \n    \"Friday\", \"Saturday\", \"Sunday\");','2025-01-24 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