AI-Powered Procurement Mapping Engine

AI Transformation | Recipe Costing Accuracy

Client: Global Food Services Enterprise | India

Duration: Phase 1 (6 Weeks)

Fixing food cost accuracy across 400 sites in 8 weeks

Heizen built an AI-powered system that replaced weeks of manual recipe costing work with automated, nightly accuracy at enterprise scale.

See the Impacts

400+Sites Covered

Unified on a single platform with no gaps.

8 WeeksDelivery Time

Vs. 6+ months for typical enterprise scope.

NightlyCost Updates

Live SAP data reflected automatically.

ZeroManual Cycle

Weeks of reconciliation work eliminated.

Know the Problem

APL data in SAP updates continuously, but the enterprise's kitchen ERP had no way to reflect those changes. This caused silent, compounding drift in recipe costs, leading Finance to make decisions on numbers that no longer reflected reality.

What is the Solution

Heizen built an Autobot — AI agent engine that ingests live SAP data nightly, classifies mapping issues across queues, and routes ambiguous cases to a human review layer before updating ERP automatically.

Our Approach: The 3-Layer Solution

Data Infrastructure

Traced exactly where data breaks between SAP and the kitchen system.

Software System

Built the Autobot classification engine with four distinct processing queues.

AI Agents

Runs nightly, classifies issues, explains decisions, and loops in humans only when needed.

Four Reasons: Why Chose Heizen

Speed to Value

8-week end-to-end delivery from discovery to deployment for a scope that typically takes 6+ months in enterprise environments.

Deep Domain Expertise

Heizen embedded in India's culinary and procurement workflows before writing a single line of code.

AI-Native Execution

Agentic architecture with intelligent queue classification, substantiated human-readable reasoning, and a built-in review layer for edge cases.

Outcome-Based Model

Heizen's engagement is tied to demonstrated results, not hours logged or headcount deployed.

Impact Statement

MOG-APL mapping that once took weeks per cycle now completes in hours. Recipe costs reflect live SAP data nightly. Mapping errors are classified and routed for review. And the team has full visibility across every site in real time.

The UI Experience: Intuitive Operations Hub

The Autobot dashboard gives the team a live command centre showing mapped vs. unmapped MOG progress, Blue Watch retirement alerts, original vs. incremental workload, and days-to-target tracking, all in one unified view across all 400 sites.