Case Study

Farm-to-Fork Restaurant Chain

How we reduced wastage by 67% and improved store P&L through dynamic pricing and contract optimization

67%
Wastage Reduction
5.8%
Margin Improvement
₹18L
Monthly Savings

The Challenge

A farm-to-fork restaurant chain operating 12 outlets with direct farm sourcing and 25+ B2B corporate clients was facing significant operational challenges:

  • High wastage rates (15-20%) due to unpredictable demand and perishable inventory
  • Inconsistent profitability across outlets despite similar menus
  • B2B contracts locked in at fixed prices while input costs varied dramatically
  • Manual reconciliation taking 12-15 days per month
  • No visibility into which products/outlets were profitable

The Solution

1. Real-Time Wastage Tracking & Prediction

We implemented item-level wastage tracking across all 12 outlets with ML-based demand forecasting. The system learned seasonal patterns, weather impacts, and local events to predict demand with 92% accuracy.

2. Dynamic Pricing Engine

Built a dynamic pricing system that automatically adjusted menu prices based on:

  • Current inventory levels and expiry dates
  • Vendor price fluctuations
  • Competitor pricing in each location
  • Demand forecasts for upcoming days

Examples: Reduce prices on high-inventory items nearing expiry, increase prices on high-demand items with limited supply.

3. B2B Contract Optimization

Analysed all 25 B2B contracts to identify loss-making relationships. Provided data-backed recommendations for contract renegotiations:

  • Implemented price escalation clauses tied to ingredient costs
  • Adjusted minimum order quantities based on profitability analysis
  • Renegotiated payment terms to improve cash flow
  • Exited 3 consistently loss-making contracts

4. Automated Reconciliation

Unified all POS systems, delivery platforms, and ERP data. Automated daily reconciliation reduced manual work from 12-15 days to 2 hours per month.

The Results

67%

Wastage Reduction

From 15-20% to 5-7% through better demand forecasting and dynamic pricing

5.8%

Margin Improvement

Across all outlets through contract optimization and pricing changes

₹18L

Monthly Savings

Combined impact of reduced wastage and improved contracts

92%

Reconciliation Time Saved

From 12-15 days to 2 hours per month

Client Testimonial

"PhyloAI gave us visibility we never had before. We knew we had wastage, but didn't know where or why. Now we can see in real-time which items are at risk, which outlets need attention, and which B2B contracts are actually profitable. The dynamic pricing alone paid for the platform in the first month." - Founder & CEO

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