Policy is full of contextual exceptions
Returns, promotions, fulfillment, loyalty, and local operating rules change what the right resolution is for otherwise similar requests.
Solutions · Retail
Retail AI grounded in how your business actually works
Make brand, policy, merchandising, and operations judgment testable at the behavior level.
Retail AI operates inside a changing world of customers, products, inventory, channels, and exceptions. Teammately turns the judgment of service leaders, merchandisers, and operators into a benchmark that follows the system through development.
The domain reality
Generic quality is not enough for consequential retail behavior.
Brand quality is judgment, not a keyword list
Tone, helpfulness, commercial judgment, and service recovery depend on customer context and the standards of experienced teams.
The operating world changes continuously
Catalog, inventory, prices, channels, campaigns, and store conditions move faster than a static test set can represent.
Priority workflows
Start where expert judgment materially changes the answer.
Customer service agents
Evaluate resolution quality, policy application, tone, tool use, and escalation across realistic customer histories and channel conditions.
Merchandising copilots
Test assortment, placement, and commercial recommendations against strategy, product context, constraints, and specialist judgment.
Product content systems
Benchmark claims, attributes, comparisons, brand language, and exception handling across a changing catalog.
Retail operations agents
Cover returns, fulfillment, inventory, promotion, and store workflows where state and local policy change the correct action.
Correctness blueprint
Connect specialist judgment to the benchmark and the build.
Your experts define
- Service quality and brand voice
- Commercial priorities and acceptable tradeoffs
- Policy exceptions and escalation boundaries
- What evidence makes a recommendation useful
The benchmark covers
- Customer intents, histories, and channels
- Products, inventory, promotion, and fulfillment states
- Representative and difficult exception combinations
- Actions, trajectories, resolutions, and escalations
The team receives
- Executable service and merchandising rubrics
- Traceable cases and realistic operating worlds
- Candidate comparisons with behavior-level evidence
- A prioritized queue of uncovered retail conditions
One connected workflow
Five product capabilities, applied to one domain standard.
Coverage Engineering
Model the space across customer, product, channel, market, inventory, policy, and operational state—then identify consequential gaps.
Correctness Elicitation
Use comparisons and real situations to turn service, merchandising, and operational judgment into applicable policies and rubrics.
Weave
Create targeted customer cases, catalog artifacts, response variants, and operational worlds for missing conditions.
Trialground
Run assistants and agents through controlled tasks while retaining tool use, trajectory, resolution, and rubric evidence.
Coevolve
Explore improvement branches and route newly discovered brand, policy, or operations questions to the right retail specialist.
What good looks like
A development team that can improve behavior without losing domain intent.
Consistent behavior across channels
The same expert-grounded standard follows customer and employee AI across interfaces and model changes.
Exceptions are designed into evaluation
Difficult policy and operating conditions become first-class benchmark coverage rather than production surprises.
Experts improve the system without becoming annotators
Service leaders, merchandisers, and operators spend time only on decisions their judgment changes.
Business change becomes testable change
New policies, products, and operating conditions update the benchmark and can be regression-tested before release.
Teammately supports the design and evaluation of retail AI behavior. Final policies, release decisions, and accountable operational controls remain with your organization.
Build a benchmark around how your retail experts actually judge quality.
Start with a consequential workflow and the specialists already accountable for it. Teammately turns their judgment into reusable development infrastructure.