A global QSR leader was looking to improve how store teams monitored and managed day-to-day operations. Managers worked across multiple systems and manual processes, while important signals about store activity remained difficult to access in real time. MathCo developed an AI-powered store operations solution that brought together enterprise data, hyperlocal signals, and existing in-store camera infrastructure. AI and computer vision capabilities helped capture and interpret operational conditions that traditional systems could not fully surface. By combining these signals through a connected AI-powered store operations platform, the solution gave managers greater visibility into store activity and supported faster, more informed decisions across key workflows. The approach also leveraged the client’s existing camera infrastructure, extending its value without requiring additional in-store hardware.
Problem Statement
The client’s store managers relied on multiple operational systems and manual processes to gather information, perform checks, identify exceptions, and make decisions. Sales data was available only a day behind, while central demand forecasts had limited visibility into hyperlocal factors such as events, weather, and sports activity. Existing cameras also represented an underutilized source of store-level intelligence. These gaps limited real-time visibility and reduced the time managers could dedicate to customers and teams.
Impact
The AI-powered store operations in QSR solution delivered measurable improvements across inventory and margin performance:
- 31% fewer stockouts on event-linked demand days
- 61% of end-of-day surplus routed to value before write-off
- $9.1M annualized margin recovered across the estate
Access the Case Study to Learn More about This Partnership
Accelerating Refund Resolution Through Intelligent Automation
Explore how MathCo helped a leading ecommerce retailer transform refund operations through a custom-built agentic refund orchestration framework. By combining intelligent decisioning, autonomous agents, and a unified data layer, the solution accelerated refund resolution, improved policy adherence, reduced fraud, and delivered a more seamless post-purchase customer experience.
Read more
Driving Retail Media ROI Through Data-Led Planning and Optimization
Learn how MathCo helped a global retailer transform purchase order processing through an agentic AI-driven procurement solution that standardized fragmented workflows, reduced manual effort, improved data accuracy, and enabled scalable, intelligent procurement operations across complex supply chain environments.
Read more
Modernizing Retail Media Data Operations with Agentic AI for Real-Time Campaign Insights
A retail media platform strengthened campaign trust and data operations through an agentic, AI-native data foundation. By combining automated data quality monitoring with standardized attribution logic, the solution improved data quality compliance, accelerated onboarding of new data sources, and reduced campaign reporting turnaround at scale.
Read more