How a Leading Global QSR Chain Reduced Order Processing Time and Enabled Digital Growth with 3SC

See how 3SC helped a global QSR chain achieve 83% faster order processing, reduce manual processing by 86%, and grow digital order volumes by 40%.

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How a Leading Global QSR Chain Reduced Order Processing Time and Enabled Digital Growth with 3SC

ABOUT INDUSTRY

Customer Overview

The client is a leading global quick-service restaurant chain operating more than 900 restaurants. Its supply chain manages over 650 perishable ingredients and menu components, processes more than 10 million orders monthly, and coordinates central commissaries supplying stores daily across in-store, mobile, web, and third-party delivery channels.

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“Within four months of joining hands with 3SC, we were able to significantly reduce manual order processing and improve visibility across our supply chain. Our teams can now respond faster, fulfil orders more efficiently, and manage growing order volumes with greater control.”
— Senior Supply Chain Executive | Global QSR Chain

CHALLENGES

The Challenges Before 3SC

Key Challenges

Approximately 35% of store orders requiring manual validation
Order-processing times extending beyond 30 minutes during peak periods
Fragmented inventory visibility across stores, warehouses, and commissaries
Up to 30-minute data latency between SAP and operational systems
Demand volatility driven by promotions, seasonal patterns, local events, and peak-hour surges
Replenishment decisions disconnected from real-time demand signals
Order failure rates reaching 70% during peak periods
Frequent stockouts, fulfilment delays, food wastage, and lost sales

THE SOLUTION

Transformation with 3SC

Connecting Demand, Replenishment, Production, and Logistics Through an AI-Enabled IBP Framework

3SC connected demand forecasting, inventory, replenishment, production, and logistics in one planning environment.

Unified data foundation

Order, inventory, logistics, master, and workflow data were unified within a centralised Enterprise Data Management layer.

AI-driven demand forecasting

AI models used sales, promotions, seasonality, peak-hour demand, and store behaviour to continuously update store × SKU forecasts.

Automated store replenishment

Demand signals automated replenishment using min-max norms, real-time inventory, commissary capacity, and proximity, with manual intervention only for exceptions.

Real-time execution integration

Real-time SAP integration eliminated data latency, automated order and pricing validation, and enabled end-to-end logistics visibility through iTMS.

OUTCOMES

Implementation Scope

Enterprise data consolidation, standardisation, and master-data harmonisation
AI-enabled store × SKU forecasting with promotion and seasonality modelling
Automated store replenishment using min-max inventory policies
Integrated commissary capacity, allocation, production, and raw-material planning
Real-time integration with SAP and operational systems
Unified order capture, validation, and logistics visibility through Intelligent Transport Management System (iTMS)
Exception-based planning, alerts, and intervention workflows
Cross-functional IBP workflows and governance

WHY 3SC

3SC combined AI-driven forecasting, automated replenishment, integrated planning, and real-time execution visibility within one connected IBP framework. By enabling demand signals to continuously update inventory, production, replenishment, and logistics decisions, the engagement reduced manual intervention, accelerated fulfilment, improved store productivity, lowered order failures, and created a scalable operating foundation for continued digital and network growth.