During a mission
During the engagement
Our consultants call on the agents at every stage of the CRO cycle. You receive the deliverables, without installing anything.
Agentic commerce
E-commerce conversational agent
Deliver sales advice, at scale
Deploy a virtual assistant connected to your product catalog: guide your visitors, remove their barriers to purchase and recreate the in-store advisory experience.
The need
What you tell us
« I want to guide my visitors as if in a store: understand the need, compare, recommend, and keep product discovery on my site. »
- « I want a product assistant on my site »
- « I want to guide my visitors as if in a store »
- « I want to reduce my bounce rate »
- « I want to choose between agent platforms »
Our response
- Use cases prioritized based on your verbatims
- Prototypes compared on two platforms
- QA via prompt corpus and scoring
Method
Our method in 5 steps
Our stance
Sales consulting, at scale
A guidance agent anchored in your product data, selected from compared prototypes and measured by A/B testing.
- Discovery
- Prototypes
- Scoring
- A/B
Step 01 : Discovery
Conducting interviews with stakeholders and analyzing customer verbatims to pinpoint expectations and friction points along your purchase journey.
- Stakeholder interviews
- Customer verbatim analysis
- Journeys and friction points
- Quantified business objectives
Step 02 : Use cases
Quantification of addressable friction points and prioritization based on traffic volumes and potential impact on conversion.
- Quantified addressable friction points
- Prioritization by volume and impact
- Guidance scope distinct from customer service
- Success KPIs by use case
Step 03 : Prototyping
Prototype development on two platforms in parallel, anchored directly in your data and your catalog structure.
- Two platforms in parallel
- Anchoring in your catalog and your data
- Configured brand tone
- Typical conversation journeys
Step 04 : QA & scoring
Creation of a prompt corpus for each use case and objective comparative evaluation of response relevance.
- Corpus of prompts by use case
- Objective comparative scoring
- Robustness and drift testing
- Shared evaluation grid
Step 05 : Recommendation & deployment
Drawing up the deployment plan with operational guardrails and rolling out an A/B testing measurement system.
- Deployment plan and guardrails
- A/B test measurement setup
- Escalation plan to a human
- Continuous improvement roadmap
Deployment
Agents trained like experts, updated like products.
Each agent is a versioned plugin on GitHub. Three ways to make the most of it.
Via the Welyft platform
Remote, at Welyft
The fleet runs on our platform, connected to your tools with your consent. An expert validates every deliverable.
Internalized within your organization
Within your organization
We build your agents using our method, customize them, then a GitHub plugin marketplace delivers their updates.
Deliverables
What you get
Prioritization study
Friction points addressable by AI, quantified.
Functional prototypes
Testable on your real use cases.
Comparative scoring
Platforms evaluated criterion by criterion.
Deployment recommendation
Plan, guardrails and measurement.
Who is it for?
Who is this offer for?
Tools used
- Dynamic Yield
- Algolia
- Claude
- OpenAI
- Zendesk
- Ada
- E-commerce with a large or technical catalog
- Brand threatened by platforms on product discovery
- Sponsor: Head of E-com, Digital Director, CPO
To go further
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