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Agentic commerce

E-commerce AI Roadmap & Strategy

Chart your e-commerce AI trajectory

Frame your AI roadmap, validate a first targeted use case and industrialize agents connected to your technical ecosystem.

They trust us+70 clients

  • L'Oréal
  • Canal+
  • Sephora
  • Chaumet
  • Renault Group
  • Salomon
  • TAG Heuer
  • Etam
  • Shiseido
  • Yves Rocher
  • Byredo
  • Jardiland
  • Hiscox
  • Fursac
  • Cegid
  • Bricomarché
  • Gamm vert
  • agnès b.
  • A.P.C.
  • Monte-Carlo Société des Bains de Mer
  • RAJA
  • Mouratoglou Academy
  • Alptis
  • OGF

The need

What you tell us

« I want a clear vision of what AI can bring to my e-commerce business (acquisition, conversion, relationship) with a prioritized roadmap and an execution plan. »
  • « I want to move my AI POCs into production »
  • « I want agents connected to my data »
  • « I want to automate my analyses »
  • « I want an AI strategy for my business »

Our response

  • Mapping of use cases by funnel stage
  • Impact × feasibility prioritization
  • Roadmap, build vs buy and initial POCs

The principle

The AI use cases across your entire funnel, mapped and prioritized

Illustration of the principle, without client data.

The roadmap sheds light on the entire space of AI use cases in your funnel and prioritizes those that create the most value.

  • Cas d'usage cartographié
  • Espace encore inexploré

Method

Our method in 5 steps

Talk to an expert
  1. Step 01 : Scoping

    Audit of your stack, your data and your maturity, ambition and business challenges, funnel and team scope, validated prioritization criteria.

    • Audit of the stack, data and maturity
    • Ambition and business challenges
    • Funnel and team scope
    • Validated prioritization criteria
  2. Step 02 : Mapping

    AI use cases by funnel stage, market benchmark and inspirations, data feasibility of each case, dependencies and prerequisites.

    • Use cases by funnel stage
    • Market benchmark and inspiration
    • Data feasibility by case
    • Dependencies and prerequisites
  3. Step 03 : Prioritisation

    Impact × feasibility scoring, quick wins and structural bets, estimation of expected gains and risks for each use case.

    • Impact × feasibility scoring
    • Quick wins and strategic bets
    • Estimated expected gains
    • Risks by use case
  4. Step 04 : Trade-offs

    Build or buy by use case, data and security prerequisites, compared costs and timelines, explicit selection criteria.

    • Build or buy by use case
    • Data and security prerequisites
    • Compared costs and timelines
    • Explicit selection criteria
  5. Step 05 : Roadmap

    Sequencing over 12 to 18 months, scoping of initial POCs, governance and review milestones, conditions for scaling up.

    • Sequencing over 12 to 18 months
    • Scoping of initial POCs
    • Governance and review milestones
    • Conditions for scaling up

Deliverables

What you get

  • Mapping of use cases

    By funnel stage, scored.

  • Prioritized AI roadmap

    Sequenced over 12 to 18 months.

  • Build vs buy trade-offs

    Per use case.

  • Scoping of initial POCs

    Success criteria defined.

Who is it for?

Who is this offer for?

Tools used

  • Claude
  • OpenAI
  • MCP
  • LangChain
  • BigQuery
  • n8n
  • Company stuck at the AI POC stage
  • CRO or data teams looking to accelerate
  • Sponsor: Head of Data, Digital Director, Innovation

To go further

Articles by our experts related to this offer.

All our articles

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Start by knowing where you stand.

Measure your maturity in a few minutes, or speak directly to an expert.