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CMS-2 — Trial-to-buyer Growth Engine.

Nestlé Vietnam · Posted 2 days ago

Consumer goodsGenerative AI
Budget
To be determined
Timeline
Based on solution provider proposal
Apply by
22 Nov 2026, 23:59 ICT

Problem statement

An adaptive journey that picks the best action × timing × touchpoint for each consumer after a trial, instead of a fixed Trial → Survey → Coupon path – more trialists converted into new buyers at a lower cost per incremental buyer.

Expected outcomes and success metrics

- More trialists converted into new buyers. - Lower cost per incremental buyer.

Target users and impacted teams

- CMS · Media teams

Data availability and readiness

- To be confirmed with the Nestlé team (consumer trial, survey and coupon interactions implied by the summary) 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 AI

Also: Machine Learning. Based on Nestlé's description of an adaptive journey that personalises the next action for each consumer.

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