How a ₹50 Cr multi-brand QSR parent company identified 2.4% network-wide margin improvement — ₹1.2 Cr annual gain potential — through cross-outlet food cost intelligence and delivery channel analysis.
OvenFresh operates 7 brands across 80+ locations. Each brand had its own POS setup, delivery commission structures and food cost targets — but leadership lacked a unified intelligence layer to compare performance or detect margin leaks early.
PhyloAI built a brand-specific ontology encoding food cost KPIs, margin thresholds and channel splits per outlet — connecting PetPooja, Tally, inventory and aggregator data into one continuous layer.
Food Cost Agent and Margin Agent monitored procurement spikes, recipe drift and void patterns — assigning specific actions to cluster ops heads with outcome verification.
Zomato and Swiggy commission benchmarking against cluster norms. Discount governance, rating monitoring and channel margin impact quantified in ₹ per outlet.
Daily comparison of food cost, revenue per cover and labour efficiency — with outlier explanations, not just rankings.
Identified across the portfolio through continuous monitoring
From food cost and delivery commission recovery actions
Top-performing brand cluster within 3 months of deployment
From ontology mapping to assigned outlet interventions
"On a ₹1,000 Cr network, even 1% margin recovery is ₹10 Cr to EBITDA. PhyloAI finds those leaks continuously — we finally see which outlets need intervention today, not at the quarterly review."
— COO, Multi-Brand QSR Group
PhyloAI connects to your existing POS and finance stack — no replacement required.