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Description
1.Problem Statement
Traditional Quick Service Restaurant (QSR) chains face major operational challenges when scaling across multiple locations within a city, especially when balancing quality, consistency, cost-efficiency, and speed. Common issues include:
- Inefficient stock and inventory management at both centralized kitchens and store outlets, leading to wastage, stockouts, or overstocking.
- Lack of real-time visibility into consumption trends and demand forecasting, resulting in either food wastage or lost sales.
- Quality inconsistencies between stores due to decentralized food preparation practices.
- Slow and uncoordinated emergency order management when a store runs out of critical items.
- Limited production planning capabilities, causing unoptimized procurement and preparation cycles.
- Fragmented operational oversight, requiring excessive manual reporting and reconciliation efforts.
2.Solution Provided
We developed a Centralized and Store-Based Hybrid Management System, purpose-built for QSR chains, integrating the following key features:
- Centralized Kitchen (CK) Management:
Raw material procurement, preparation of semi-finished goods (like sauces, patties, buns), storage, dispatch, and quality audits managed through specialized departmental modules.
Forecast-driven production planning, reducing over-preparation and wastage.
- Store Management (S1-S25):
Stores focus on final assembly and customer service only, receiving ready-to-use ingredients.
Real-time stock tracking, emergency order capability, end-of-day sales reconciliation, and next-day raw material requisition submission.
- Core Functionality:
Inventory and Stock Management across CK and stores with real-time dashboards.
AI/ML-based Production Forecasting to detect anomalies and optimize inventory replenishment.
Quality and Audit Control to ensure preparation consistency and traceability.
Delivery and Dispatch Management with van inventory tracking and emergency store-to-store routing.
Emergency Fulfillment System to reallocate stock dynamically between stores with minimal disruption.
User and Role Management for streamlined operational oversight and accountability at each stage.
3.Business Impact
Enabled standardized food quality across locations, strengthening brand reliability.
Data-driven decision-making for procurement, production, and inventory.
Higher profitability through cost control and operational efficiency.
Created a scalable model for multi-city expansion using the same centralized backbone.
Improved customer experience due to faster service, consistent food quality, and better availability.