Group Category: Use Case
Product Category: Database Design & Development
Sub Category: PostgreSQL
Business Overview:
Order Management & Customer Service Analytics is a hands-on SQL training product designed to help learners explore real-world challenges in the food delivery business. Whether you're a data analyst, business strategist, or a learner aiming to build practical skills, this resource walks you through essential operational and customer service metrics.
You’ll use SQL to analyze order statuses, customer behavior, payment trends, delivery partner performance, and cart abandonment—all based on a realistic PostgreSQL dataset modeled on a food delivery platform. This product is ideal for anyone looking to sharpen their data analysis and reporting skills in an operations-heavy business context.
Product Highlights:
- A comprehensive PDF guide with 5 real-world SQL use cases
- Sample query outputs to visualize results and guide expectations
- Built on a relational PostgreSQL dataset including customers, orders, deliveries, payments, and more
- Designed for data analysts, operations teams, and learners focused on service performance
- Great for portfolios showcasing skills in logistics, customer service, and business intelligence
Learning Outcomes:
- By solving these use cases, you will:
- Write advanced SQL queries using joins, aggregates, window functions, and subqueries
- Analyze order patterns, identify delays, and monitor service metrics
- Evaluate customer loyalty, payment performance, and delivery partner efficiency
- Build actionable reports that support decision-making in real business contexts
- Apply SQL to practical scenarios that mirror real food delivery business challenges
Description:
Captures each cart session to understand customer purchase intent and behavior.
- Includes cart IDs, timestamps, and associated customer references
- Helps analyze cart abandonment rates and conversion patterns
- Valuable for session tracking, funnel analysis, and retargeting
- Complements cart items, orders, and customer data
Description:
Details individual items added to carts, enabling item-level intent tracking.
- Contains item IDs, product IDs, quantities, and cart references
- Enables product popularity scoring and bundle analysis
- Ideal for upsell strategy, recommendation systems, and checkout optimization
- Works best alongside cart, product, and customer data
Description:
This file details the food and beverage offerings available for order across restaurants.
- Contains item names, descriptions, prices, availability, and restaurant associations
- Enables product-level performance tracking, pricing optimization, and availability trends
- Essential for menu engineering and cross-sell analysis
- Complements
Order ItemsandRestaurantsdatasets
Description:
This file captures the specific items included in each customer order, forming the transactional unit.
- Includes menu item IDs, quantities, unit prices, and timestamps
- Useful for analyzing item-level sales trends, bundling behavior, and spend analysis
- Powers reports on top-selling items and customer ordering habits
- Complements
OrdersandMenu Itemsdatasets
Description:
This file catalogs all restaurants listed on the platform.
- Contains restaurant names, descriptions, addresses, phone numbers, and ratings
- Useful for restaurant performance analysis, listing health, and partner segmentation
- Enables filtering by cuisine, locality, and availability status
- Complements
Menu ItemsandOrdersdatasets
Description:
This file logs payment transactions associated with customer orders.
- Captures payment method, amount, status, and timestamps
- Supports reconciliation, payment method analysis, and refund tracking
- Enables revenue recognition, failed transaction resolution, and COD trends
- Complements
OrdersandCustomersdatasets
Description:
This file logs the delivery information associated with each order, helping track fulfillment logistics.
- Contains delivery status, partner IDs, pickup & delivery timestamps
- Enables analysis of delivery performance, SLA adherence, and logistics failures
- Supports geolocation mapping and order fulfillment workflows
- Complements
Orders,Delivery Partners, andCustomersdatasets
Description:
This file stores profiles of delivery personnel who fulfill customer orders.
- Includes partner names, contact info, and rating metrics
- Supports performance monitoring, workforce allocation, and delivery analytics
- Useful for incentive tracking and partner segmentation
- Complements the
Delivery Detailsdataset
Description:
This file records all orders placed by users on the platform.
- Includes order status, pricing, timestamps, and payment status
- Powers dashboards on order conversion, cancellations, fulfillment rate, and revenue
- Useful for time-series forecasting, loyalty tracking, and customer value modeling
- Complements
Customers,Payments, andOrder Itemsdatasets
Description:
Stores customer profile data for personalized engagement and segmentation.
- Contains customer IDs, names, contact info, and demographics
- Supports customer journey mapping and lifetime value analysis
- Useful for targeted marketing, churn prediction, and retention strategies
- Pairs well with order, cart, and product data
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