AI-Led Supply Chain Traceability at Global Scale

A large American multinational operating in confectionery, food, beverage, and snacks across ~160 countries.

Client Objectives

Ensure end-to-end traceability across a highly fragmented global supply chain
Address food safety, contamination, and recall risks across the farm-to-fork lifecycle
Meet evolving food safety and regulatory risk requirements, such as FSMA
Protect brand reputation and consumer trust through faster response to incidents

Solution Implemented

Implemented Product Traceability, a cloud-based, globally scalable platform
Enabled track, trace, hold, and release capabilities across raw materials to finished goods
Leveraged AI Next Harness Graph Datastore for lineage, relationship mapping, and orchestration
Integrated disparate partner and enterprise systems for real-time and batch data flow

Business Outcomes & Impact

Trading partners connected

Enabled end-to-end visibility across global suppliers and distributors, reducing data silos and improving collaboration

0.0M+

Daily transaction events processed

Delivered scalable traceability for high-volume food supply chains without performance bottlenecks

Manufacturing plants & distribution centres covered

Standardized traceability and compliance controls across distributed operations

0K+

Raw-to-Finished goods flows tracked

Enabled lot-level lineage and genealogy, accelerating food safety and recall root-cause analysis

0 Hrs TAT

to submit 2 years of traceability data

Enabled regulatory-grade audit readiness for faster FDA and FSMA compliance response

A game-changing journey powered by Infosys Topaz AI Next, strengthening FSMA compliance, real-time traceability, and setting a new benchmark for supply chain excellence.

Chief Innovation Officer,

Mondelez