- Portland
- Coffee Retail
- 28 weeks
- B2C
- Python, Django, React, PostgreSQL, AWS, Stripe
Project Brief
A quickly expanding specialty coffee shop wanted to introduce a retail management solution to streamline operations and improve consumer satisfaction. They want to improve consumer loyalty programmes, centralise sales data, streamline inventory management, and schedule people more effectively.
Client Background
The coffee business, which was expanding quickly and had several outlets around the nation, was well-known for its premium coffee beans and artisanal drinks. Because of the fragmentation of their current systems, it was challenging to evaluate sales success, manage inventory across locations, and provide a uniform brand experience.
Key Challenges:
Solution:
1. Discovery and Planning
We thoroughly investigated the coffee chain's operations, visiting their locations, speaking with managers and baristas, and reviewing the data they already had. For a unique retail management platform, we determined the main problems, ranked the needs, and created a strategic plan. A phased deployment strategy was outlined in this roadmap, with more sophisticated features like loyalty programmes and analytics coming after essential capabilities like inventory management and POS integration.
2. Development
Our experienced development team used Django and Python to create a solid and expandable backend for the platform. Frontend developers utilised React to create a user experience that is responsive and easy to use for managers and employees alike. The database of choice was PostgreSQL because of its dependability and efficiency. For smooth payment processing, we combined Stripe and Square with Segment for the gathering and evaluation of client data.
3. Implementation
To roll out the retail management platform to all of the chain's locations, we collaborated closely with the IT department. This included transferring data from the old systems to the new one, teaching employees how to use it, and provide continuing maintenance and support. To get user feedback and keep improving the platform, we also set up a feedback loop.
Tools & Technology Used
Python
Programming Language
AWS
Cloud Services
React
Frontend
PostgreSQL
Containerization
Stripe
Payment Gateway
Features:
Integrated Inventory Management
Integrated inventory management reduces waste and avoids stockouts by providing real-time visibility into inventory levels across all stores, automating stock alerts, and streamlining purchasing procedures.
Point-of-Sale (POS) Integration
Accurate sales monitoring, centralised reporting, and effective transaction processing are made possible by a seamless interface with current POS systems.
Staff Scheduling and Management
Automated scheduling technologies that minimise labour expenses, guarantee sufficient staffing levels, and streamline shift management for shop managers are available for staff scheduling and management.
Customer Loyalty Program
Customer Loyalty Programme: An individualised loyalty scheme that provides tailored offers and promotions, monitors customer preferences, and pays consumers for returning.
Advanced Analytics and Reporting
Data-driven decision-making is made possible by comprehensive reporting and analytics dashboards that offer insights into sales trends, product performance, consumer behaviour, and operational efficiency.