Agentic commerce
E-commerce conversational agent
Deliver sales advice, at scale
- Dynamic Yield
- Algolia
- Claude
- and 3 other tools
Agentic commerce
AI Agent Bootcamp
Switch to the AI agent in one day
Scope your conversational agent use case in a single day, prototype it on your real data, and leave with a prioritized production rollout plan.
The need
What you tell us
« I want a conversational agent on my site but I don't know where to start or what it would really look like. I want to see a prototype running on my real data and leave with a clear production rollout plan. »
- « I don't know what an agent would deliver on my site »
- « I want to see a prototype on my data »
- « I want a clear plan before investing »
Our response
- Scoping of the use case and guardrails
- Agent prototype on your data
- Production rollout plan
Method
Our method in 5 steps
Our stance
A prototype in 1 day
In one day, we prototype and scope. Production rollout follows, on solid foundations.
- Scope
- Prototype
- Plan
Step 01 : Scope
Scoping morning covering the priority use case, target journeys and intents, success KPIs, guardrails and brand tone.
- Priority use case
- Target journeys and intentions
- Success KPIs
- Guardrails and brand tone
Step 02 : Prototype
Building an agent connected to your catalog and FAQ, first playable scenarios and live iterations with your teams.
- Agent connected to your data
- Connected catalog and FAQ
- First playable scenarios
- Live iterations
Step 03 : Evaluate
Afternoon of testing on real use cases to identify strengths and blind spots, check security and hallucinations, and gather feedback from the team.
- Tests on real-world cases
- Strengths and blind spots
- Security and controlled hallucinations
- Team feedback
Step 04 : Plan
Estimate of production deployment effort, list of technical prerequisites, and prioritized roadmap with milestones.
- Effort to put into production
- Technical prerequisites
- Prioritized roadmap
- Estimate and milestones
Step 05 : What's next
Delivery of the prototype and deliverables, go / no-go decision and scoping of the full conversational agent project.
- Prototype and deliverables provided
- Go / no-go decision
- Scoping of the complete conversational agent project
Deliverables
What you get
Functional agent prototype
Testable on your real use cases.
Scenario and prompt grid
Documented, reusable.
Assessment report
What works, what still needs to be secured.
Production rollout plan
Quantified and prioritized.
Who is it for?
Who is this offer for?
Tools used
- Claude
- OpenAI
- Dynamic Yield
- Algolia
- Zendesk
- Ada
- E-commerce businesses wanting to test an AI agent before committing to a full project
To go further
Articles by our experts related to this offer.
How can UX (and CRO) impact your SEO (GEO)?
UX directly influences your SEO and your visibility in generative AI: behavioral signals, readability, ...
From simple FAQ to closing: how conversational commerce turns visitors into engaged buyers?
Faced with the paradox of choice, e-commerce is using generative AI to advise customers and thereby boost conversions.
How to parallelize your A/B tests?
The secret to growth isn't the single A/B test but parallelization governed by impeccable governance.
Bayesian vs Frequentist: which method for your A/B tests?
Finally understand the difference between Bayesian and frequentist statistics to optimize your A/B tests.
To go further
Often associated with
Agentic commerce
E-commerce AI Roadmap & Strategy
Chart your e-commerce AI trajectory
- Claude
- OpenAI
- MCP
- and 3 other tools