TECH-1 — Complaint traceability & faster product release.

Link complaints to batch, process and equipment to find root causes; auto-collect evidence for risk-based release. Today: • Connect consumer complaints with batch history, production processes, equipment conditions and corrective-action records to trace each signal end to end. AI identifies recurring patterns and potential causes, including equipment or component level where the data supports it, while preserving data governance and investigation accountability. This enables faster, targeted investigation and improvement actions to reduce repeat complaints and protect consumer trust. • Product release relies on multiple checks, data sources and handoffs before disposition. Manual evidence collection and review can extend hold time and slow product availability. This affects inventory, service and quality-resource productivity. The challenge is to enable a more risk-based release process using trusted process evidence while maintaining full quality and compliance control.

• Reduce recurring consumer complaints, accelerate root-cause resolution and protect consumer trust. Reduce investigation and traceability lead time. Detect recurring issues and probable sources earlier. Accelerate corrective and preventive decisions. Reduce effort across Quality, Factory, Supply Chain and Business. Support consumer trust, quality performance and lower cost of non-quality. • Trace complaints from consumer signal through batch and process history to corrective/preventive action. Potential scope: all Nestlé categories. Measure traceability time, investigation time, repeat complaints and non-quality cost. Targets to be confirmed. Turn consumer feedback into faster, targeted improvement actions, potentially down to equipment/component level where data supports it. • Reduce release lead time and manual evidence gathering. Improve release consistency, visibility and auditability. Enable faster exception identification and expert decisions. Optimize hold inventory and quality-resource effort. Support service level, quality requirements and product availability. • Eligible products within the agreed scope use validated process evidence to support faster, exception-based release decisions. Complete and conforming process evidence is available at the decision point, with exceptions routed for expert review. Success measures: Release lead time, hold inventory, right-first-time release and compliance. Baseline and target to be confirmed. Operating requirements: Food safety, quality standards, regulatory requirements, validation and authorized release approval remain satisfied.

• Quality, Factory, Supply Chain and Business • Technical teams accountable for product release and investigation • Authorized release approvers and expert reviewers for exceptions

Note: Synthetic data could be potentially provided during the process, upon approval of the Nestlé team and in compliance with data law.

• To be determined Note: Nestlé's current environment includes Microsoft Azure and Microsoft Copilot. Solutions that can work with this environment are welcome, and final integration and deployment requirements will be confirmed with the Nestlé team.