DTN/Platforms/AI Solutions
Platform · 04

AI for e-commerce, from an AI development company built for commerce.

AI for e-commerce, built by an AI development company that has shipped commerce for two decades — conversational shopping, semantic search, personalization and operations automation, embedded into your store rather than bolted on.

AI earns its place in commerce when it moves a number — conversion, deflection, margin — not when it's a chatbot bolted to the corner of the page. We embed AI into the store: conversational shopping assistants, semantic and lexical search tuned to your taxonomy, personalization from first-party signals, and operations automation for the boring, valuable work like returns triage, fraud screening and supplier reconciliation.

Everything ships to production behind an in-house evaluation harness, with strict cost and latency targets and safe fallbacks. We are Anthropic and OpenAI partners, and we build to minimize vendor lock-in — the model is a component, not the architecture.

Why DTN on this platform

Certifications and depth, not claims.

Anthropic and OpenAI partners with an in-house evaluation harness and production deployments — AI shipped with guardrails, continuous evaluation and a clear ROI model, not a demo that never leaves the sandbox.

Anthropic + OpenAI partners
In-house eval harness
Production deployments at scale
Strict cost / latency SLOs
What we ship

Six ways we put AI Solutions to work.

/ 01

Conversational shopping

Storefront assistants — find products, answer questions, escalate when needed.

AI shopping assistant for e-commerce
/ 02

Semantic + lexical search

Hybrid retrieval that beats keyword on day one — tuned to your taxonomy.

/ 03

Personalization

Recommendations and content driven by first-party signals, no data lake required.

/ 04

Customer-service AI

Tier-1 deflection with safe fallback. Trained on your KB, evaluated weekly.

E-commerce chatbot & customer-service AI
/ 05

Content operations

Product copy, alt text, translations at catalogue scale — with editorial review.

/ 06

Operations automation

Returns triage, fraud screening, supplier reconciliations — boring, valuable, shipped.

Other platforms

Also in our stack.

Tech we use

The stack.

ClaudeGPTRAGHybrid vector searchPythonTypeScriptEvaluation harnessMagento / Shopify / Medusa integrations
Questions

Common questions.

How do we know the AI actually works?

Every feature runs against an evaluation harness with your data before and after launch, and is measured continuously — deflection rate, answer quality, cost per interaction.

Will this lock us into one AI vendor?

No — we design model-agnostic, so you can switch between Claude, GPT or open models. Data privacy and lock-in are first-order concerns.

What's the fastest win?

Usually semantic search or tier-1 customer-service deflection — measurable impact in weeks, with a safe fallback to human agents.

Do you use our data to train models?

No — your data is not used to train third-party models. We use retrieval over your own content at query time, with privacy and data residency handled up front.

Get in touch

Let's build something worth scaling.

Book a 30-minute call. We'll listen first, propose second — and tell you if we're not the right fit.