RETAIL & E-COMMERCE
CX that converts and retains


Built for customer trust
A CX agent that gets it right
When your AI gets the details right, customers come back. When it guesses, they don't.
No made-up answers
APT-1 never guesses, so responses are grounded in live order, shipping, and account systems. Customers get facts, not generated guesses.
Policies enforced, not improvised
Returns, exchanges, and cancellations execute based on real policy logic, not an agent's best interpretation of the rules.
Confirmations you can trust
Order shipped? Return processed? Refund issued? Customers only hear it after API systems confirm it's true.
WHERE GENERIC AI FAILS
Why general LLMs break in retail CX
Retail CX requires real-time accuracy about inventory, orders, and returns. Generic models sound confident but can't verify what they're saying, creating hallucinations that corrode customer trust and business costs that compound at scale.
Hallucinations hurt sales
You don't want your CX agent getting "creative" when it comes to delivery dates, return policies, and product details. In retail, hallucinations don't just create bad experiencesβthey kill conversions.
Inventory errors create oversell
When AI approximates stock levels or product variants instead of checking real inventory, you oversell items, disappoint customers, and trigger refunds or replacements that destroy margins.
False confirmations erode trust
Confirming a return, exchange, or cancellation before it actually completes leads to repeat contacts, refunds, and lost loyalty.
Scale amplifies CX mistakes
When traffic spikes during launches, promotions, and peak seasons, even a 1% error rate creates thousands of escalations, margin loss, and customer churn.
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Deployment models
Own the AI. Deploy it your way
Run APT-1 in your VPC, on-prem, or as a managed service for single-brand or multi-client CX agent deployments at scale.

Keep CX in-house
Run retail CX inside your infrastructure without giving up control. Deploy deterministic intelligence that follows your return policies, inventory rules, and brand guidelinesβnot generic approximations.
Deploy inside your infastucture
Deploy in VPC or on-prem so customer data, inventory systems, and pricing logic stay inside your infrastructure under your control.
Behavior you can trust
Every response and action follows your business rules consistently, so return policies, pricing logic, and inventory checks work the same way every time, across all channels.
No surprise changes in production
Model behavior is stable, versioned, and evaluated before release, so updates to return logic, inventory rules, or pricing don't break customer experiences ever.

Deliver retail CX at scaleβand under your brand
License APT-1 and the platform, and deploy it within your stack, your brand, and your client environments.
Multi-client isolation by design
Enforce strict separation of data, return policies, and inventory logic per clientβno leakage, no drift, no shared-tenant risk.
Economics that enable growth
Predictable per-conversation costs without multi-model supervision chains or retry loops that protects margins during peak seasons and flash sales
A foundation you can white-label
Embed APT-1 and the platform directly into your retail CX offering to deliver branded automation without reselling third-party APIs or black-box services.
Model + platform for retail CX
The full stack for CX agents customers love
Purpose-built intelligence for retail experiences that feel personal, on-brand, and always accurate.
Built for retail accuracy
The only deterministic model built for customer experience, designed to deliver accurate responses and complete real requests without hallucinations or drift.
CX that scales with your business
Create, evaluate, and deploy CX agents using the platform that's integrated with your inventory, order management, and other key systems.
RETAIL CX IN ACTION
Powering moments that drive sales
APT-1 delivers accurate answers about products, orders, and returns, so customers can shop, track, and resolve issues without friction, confusion, or having to call support.
research-driven authority
Proof behind the platform
We treat AI as a science, not a slogan. Explore our latest model research, enterprise case studies, and deep dives into deterministic architecture and governance.
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