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FOOD-2 — Product data & brand knowledge assistant (SAP).

Nestlé Vietnam · Posted 2 hours ago

Consumer goodsGenerative AISearch & Knowledge RetrievalDocument Intelligence
Budget
To be determined
Timeline
Based on solution provider proposal
Apply by
22 Nov 2026, 23:59 ICT

Problem statement

Answer master-data questions from a stock code, auto-update eCommerce content from SAP and find past brand documents. Today: • Retrieving information (such as barcode, dimensions, weight and price) from barcode requires significant manual effort. • Manually updating E-content information is time-consuming and error-prone. • Brand teams spend significant time searching for historical project information, past decisions and previous presentations across multiple folders and systems.

Expected outcomes and success metrics

• Increase productivity. • Ensure accuracy and save time. • Faster information retrieval, knowledge shared consistently across the team and improved continuity across projects.

Target users and impacted teams

• Food / MAGGI brand, operations and eCom (eCommerce) teams • Brand teams

Data availability and readiness

• SAP • SAP & Ecom excel file • SharePoint, Teams, PPT (PowerPoint), Emails, Project Documents Note: Synthetic data could be potentially provided during the process, upon approval of the Nestlé team and in compliance with data law.

Integration, deployment and infrastructure

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.

Relevant AI technologies

Generative AISearch & Knowledge RetrievalDocument Intelligence

Based on Nestlé objectives for SAP master-data Q&A from stock code, automated eCommerce content updates from SAP, and natural-language brand knowledge retrieval across documents.