AI Showreel consulting-grade analysis, for everyone FR
← The index
Proof C Live confirmed

Mondelez International

proprietary genAI platform for ad production

IndustryCPG & D2CLeverAcquisitionFamilyGenerationImplementationCustom AIStagediscovery
Pattern proven in 8 industries still untouched in Media & entertainment, Travel & hospitality, Food & beverage +4 See the pattern map
40 M$
Committed investment
"$40 million" S1

Mondelez invested 40 million dollars in a proprietary genAI platform (with Accenture and Publicis) targeting a 30 to 50% drop in marketing production cost, with social content already live for Chips Ahoy and Milka.

Objective

Reduce the share of the ad budget eaten by creative and production (around 60 percent at a large CPG), produce more variants faster, and spend less on external agencies.

The deployment

Mondelez invested 40 million dollars in a proprietary genAI platform, developed with Accenture and Publicis Groupe. The group targets a 30 to 50 percent drop in the production cost of marketing content, on a creative-production line item that accounts for around 60 percent of a large consumer-goods maker's ad budget. The first uses are already live: social content for Chips Ahoy and Milka, Oreo product pages on Amazon and Walmart. For now the group avoids images of people and focuses on animated product visuals, with human review of everything the AI outputs. The roadmap pushes toward short, ready-to-air TV spots for the 2025-2026 holidays, with the stated ambition of a Super Bowl 2027 format. One cited example: an eight-second Milka animation where waves of chocolate roll over a biscuit, the kind of shot that traditionally costs hundreds of thousands of dollars.

Results Proof C

40 M$
Committed investment
"$40 million" S1
30% a 50%
Targeted reduction in marketing content production cost
"30% to 50%" S1
environ 60%
Share of the ad budget in creative-production (CPG context)
"creative development and production consume about 60% of advertising budgets" S2

Investment and objectives announced by Mondelez through its executives, picked up by CNBC and the trade press; the cost reduction is a stated target, not yet an audited result, hence C.

How it works

Inferred typical approach

The internal detail is not public. Here is a proven approach that leads to the same result, to adapt to your stack.

corrections renvoyees pour regeneration Brief marque (produit,format, marche) Plateforme genAIproprietaire Mondelez + Accenture + Publicis Revue humaine (qualite,conformite) Social / pages produit /TV

The stack in detail

How it runs, concretely

For ops teams
CadencePer campaign and per launch; production of many variants on demand, with systematic human review before release.
Operated byMondelez's consumer experience and data teams, with Accenture and Publicis on the platform.
  1. 1
    Brief and framing marketing / brand

    Definition of the product, format, and message per market, fed into the proprietary platform.

  2. 2
    Variant generation AI / platform (Accenture, Publicis)

    Production of animated product visuals and videos (e.g. the Milka animation), in several versions.

  3. 3
    Human review Mondelez creative team

    Quality and compliance check of each output before release; exclusion of images of people.

  4. 4
    Distribution marketing / e-commerce

    Go-live on social and e-commerce product pages, with progressive extension to TV.

The signal that drives it

The fidelity of the product rendering and adherence to brand guidelines. The guardrail held: no images of people, human review of each output before it goes live.

How your customers perceive this type of use

Sourced studies

Un 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).

77% vs 38%
Annonceurs qui percoivent l'IA positivement, contre 38% des consommateurs (2024)
72%
Consommateurs qui estiment que l'IA rend difficile de savoir quel contenu est authentique (2024)
+96%
Lift de confiance globale envers l'entreprise quand la mention IA d'une pub est remarquee (avec +47% d'attrait de la pub et +73% de credibilite de la pub) (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

See full acceptance: by country, by use, by generation

How to replicate

Inference, not sourced

Data prerequisites

  • product assets and brand guidelines
  • packaging references per market

Org prerequisites

  • a team able to run a genAI platform and handle its review
  • a make-or-buy trade-off against external agencies

Possible stack

  • genAI platform (in-house or via integrator)
  • image and video models
  • human review workflow
Team to operate1 content lead + 1-2 creatives (art direction, prompts) + 1 data/tooling profile, plus human review by the brand teams; integrator optional.

The plan, step by step

  1. Step 1
    Pick a high-volume scope (social content and product pages for one brand) and gather product assets, packaging, and guidelines.Deliverable: Brand corpus ready and a backlog of formats to produce.
  2. Step 2
    Stand up a POC with an integrator or an internal team on a batch of product visuals, setting the guardrails (no people, systematic human review).Deliverable: First visuals validated by the brand and a written guardrails charter.
  3. Step 3
    Industrialize the generation -> review -> publication workflow and measure cost per asset before/after.Deliverable: Tooled pipeline with documented cost per visual.
  4. Step 4
    Extend to other brands and markets, then to short video formats.Deliverable: Catalog of multi-market variants in production and a savings assessment.

First step: Target social content and e-commerce product pages, where volume and repetitiveness justify automation.

Sources

  1. S1 Mondelez invests $40m in generative AI to cut marketing costs Secondary foodbev.com · 2025-10-27 · accessed 2026-07-11 archive pending
  2. S2 Oreo-maker Mondelez to use new generative AI tool to slash marketing costs Established press cnbc.com · 2025-10-24 · accessed 2026-07-11 archive pending