Retail
No agent should promise a discount you never approved.
TrustHouse ContextTalk grounds every retail agent in your real catalog, pricing, and policy, so support, pricing, and merchandising act on what is true, with the chain of custody behind every action.
Question
POS · OMS · Catalog
Context Engine
Grounded Answer
+ Chain of CustodyFor
Retail digital, merchandising, and operations leaders
The problem
Agents inventing discounts, policies, and stock across siloed systems
The outcome
Autonomous retail actions you can trust and audit
Reference Architecture
TrustHouse ContextTalk: High Level Reference Architecture
Autonomous retail actions you can trust and audit.
Catalog Inputs
- Pricing Data
- Loyalty Data
- Policy Rules
Agent Actions
- Pricing Agents
- Support Agents
- Merchandising Agents
Decision Tracing
- Action Authorization
- Customer Exposure
TrustHouse ContextTalk: Context Engine & Trust Layer
TrustHouse Context Engine
Connect · Analyze · Explain · Act
Context Intelligence
Faster Response
Real-time signals become an action without a batch cycle or an analyst in the loop.
Lower Risk
Every autonomous markdown, promotion, or return traces back to the data and policy behind it.
Greater Efficiency
Agents act on your real catalog, pricing, and stock, so they stop inventing discounts and commitments.
Autonomous retail actions you can trust and audit
What teams ask
The questions your best people wish they could just ask.
“Is this agent about to offer a discount or a return that our current pricing and policy actually authorize?”
Process Workflows
Where TrustHouse sits in your retail workflows
Four mapped processes: click each to see where trust is enforced.
Proposed Discount
Agent intent
Live Pricing & Policy
Current rules
CONTEXTTALK
Checks action against policy
Trust EnforcedAuthorized Action
Cleared to execute
Answer
+ Chain of Custody
Discounts, policies, and stock commitments an agent can stand behind.
The language of your industry
A question asked in your language returns an answer in it.
Your teams already describe the work this way. ContextTalk maps each term to a semantic context layer.
Integrations
Connects to the systems you already run.
POS
OMS
Loyalty & Marketing Automation
What you get
Outcomes leaders sign for.
Hallucination-free agents
Discounts, policies, and stock commitments an agent can stand behind.
Audited autonomous decisions
End-to-end provenance from action back to source.
One control plane
A single Trust layer across marketing, e-commerce, and warehouse agents.
Clean data before the model
Loyalty, telemetry, and catalog feeds filtered before they distort the forecast.
Questions we get asked
Straight answers to the recurring ones.
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