Nestle
genAI product content factory from digital twins
Nestle launched in 2025 an in-house digital twins and genAI content service (Accenture Song, Nvidia, Microsoft) claiming over 70% savings on scaling, with 4,000 digitized products (target 10,000) and 45 content studios.
Objective
Produce consistent-quality product content at scale, faster and much cheaper, to feed media personalization and e-commerce product pages across hundreds of references.
The deployment
Nestle launched an in-house service that creates digital twins of its products, developed with Accenture Song, built on Nvidia Omniverse and NVIDIA AI Enterprise and hosted at Microsoft. From these 3D models, teams generate fresh content without reshooting, and adapt it by channel and market. The group reports 4,000 digital master products digitized and targets 10,000 in two years. Production relies on 45 content studios and on Integrated Marketing Services, that is 250 marketing experts spread across 7 hubs that run the scaling and localization. Nestle puts the savings tied to scaling the digital twins at over 70 percent. The brands cited include Purina, Nescafe Dolce Gusto, and Nespresso. The wider context: 72 percent of media investment in digital and over 340 million first-party data records.
Results Proof C
Figures published by Nestle (official press release and an executive quote), corroborated by the trade press; no isolated detail in financial results, hence C.
How it works
Documented architectureThe stack in detail
- plateforme Nvidia Omniverse Creation and management of the products' 3D digital twins (4,000 master products, target 10,000).
- plateforme NVIDIA AI Enterprise AI software foundation to generate the content from the twins, without a new shoot; the precise generative models are not named in the sources.
- infra Microsoft (cloud) Hosting of the digital twins and content service.
- integrateur Accenture Song Development of the in-house digital twins and content service with Nestle.
How it runs, concretely
For ops teams-
1Product digitization data / 3D team + Accenture Song
Creation of the digital master product (4,000 to date, target 10,000) in Omniverse.
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2Content generation content studios / AI
Production of visuals and product pages from the twin, without a new shoot.
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3Localization and scaling Integrated Marketing Services
Adaptation by brand, market, and format via the 7 marketing hubs.
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4Distribution and personalization marketing / e-commerce
Feeding e-commerce product pages and media channels, with targeting on first-party data.
The accuracy of the digital twin against the product sold and brand consistency. A wrong twin propagates the error across all the generated content.
How your customers perceive this type of use
Sourced studiesUn ecart net separe les annonceurs des consommateurs : 77% des annonceurs voient l'IA positivement contre 38% des consommateurs (Yahoo/Publicis, 2024). Les mesures implicites confirment le rejet declare : en EEG, les pubs generees par IA produisent une activation memorielle plus faible que les pubs traditionnelles et sont decrites comme agacantes, ennuyeuses et confuses (NIQ, 2024). La disclosure a un effet ambivalent : elle augmente fortement la confiance quand elle est remarquee (Yahoo/Publicis), mais 27% des jeunes consommateurs disent faire moins confiance a une entreprise dont la pub est creee par IA (IAB, 2024).
Acceptance conditions
- Une disclosure visible : quand la mention IA est remarquee, la confiance globale envers l'entreprise augmente de 96% (Yahoo/Publicis 2024)
- Une qualite visuelle suffisante : les visuels IA de basse qualite augmentent l'effort cognitif et distraient du message (NIQ 2024)
Red lines
- Le contenu IA non declare puis identifie : 72% des consommateurs disent que l'IA rend l'authenticite difficile a etablir (Yahoo/Publicis 2024) et les marques utilisant des pubs IA sont plus souvent jugees inauthentiques ou non ethiques par les consommateurs que par les dirigeants (IAB 2024)
- Les mannequins et personnes generes par IA : 46% des consommateurs n'en veulent pas dans la publicite, l'inquietude premiere etant les standards de beaute irrealistes (Attest 2025)
Sources: Yahoo / Publicis Media (terrain Ebco) 2024 · IAB (avec Attest) 2024 · NIQ (NielsenIQ) 2024 · Attest 2025
How to replicate
Inference, not sourcedData prerequisites
- product catalog with usable 3D or photo references
- brand rules and per-market disclosures
- first-party data for personalization
Org prerequisites
- a centralized hub-type production structure
- quality governance of the generated content
Possible stack
- 3D engine / digital twins
- image generation models
- integrator (Accenture Song type) or internal team
The plan, step by step
- Step 1Choose a category with a high volume of references and audit the existing 3D and photo assets (packaging, guidelines, per-market disclosures).Deliverable: Pilot scope and inventory of usable assets.
- Step 2Digitize a first batch of products into 3D twins, with a studio or an integrator.Deliverable: Batch of digital master products validated by the brands.
- Step 3Stand up the visual generation pipeline from the twins and the brand validation workflow.Deliverable: Operational pipeline and first published visuals.
- Step 4Adapt by channel and localize by market via a centralized production structure.Deliverable: Multi-market variants in production.
- Step 5Measure cost per visual before/after and arbitrate the expansion of the twins catalog.Deliverable: Quantified savings assessment and expansion plan.
First step: Digitize a category with a high volume of references and measure cost per visual before / after.
The same pattern, proven in other industries
Adobe
in-house genAI production of marketing content at scale
Atlassian
internal genAI agents for account targeting and marketing content production
BMW
advertising and experiential creation with generative AI
Sources
- S1 Nestle is creating AI-powered digital twins for brands like Purina, Nescafe Dolce Gusto and Nespresso Primary archive pending
- S2 Nestle launches in-house AI service to create high-quality product content at scale Established press archive pending
- S3 Nestle, LVMH, L'Oreal Ramp Up Content Creation With AI-Powered Digital Twins Secondary archive pending
An error, newer info, a source?
This page lives on its accuracy. If a figure has moved, if the deployment has changed, or if you have a higher-quality source, tell us. Every sourced correction is verified before publication.