DTN/Expertise/AI for Commerce
Practice · 09

E-commerce AI solutions across the commerce lifecycle.

E-commerce AI solutions applied across the whole commerce lifecycle — discovery, merchandising, service and operations. Generative AI in e-commerce where it moves a number, not where it demos well.

AI belongs in commerce where it moves a number — search relevance, content throughput, service deflection, better stock decisions — not as a chatbot in the corner. We apply it across the commerce lifecycle and ship it the way we ship everything else: evaluated against your data before launch, monitored after, with a safe fallback when confidence is low.

In practice that's on-site conversational assistants that actually help shoppers find things, semantic search (vector + lexical hybrid that beats keyword from day one), content operations — product copy, alt text, translations at catalog scale with editorial review — and demand forecasting that reduces markdowns and stockouts using your own data. Model-agnostic by design, so you're never locked to one vendor.

What we ship

How ai for commerce comes to life.

/ 01

Conversational shopping

On-site assistants that actually help customers find what they want.

/ 02

Semantic search

Vector + lexical hybrid that beats keyword on day one.

/ 03

Content operations

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

/ 04

Demand forecasting

Better stock decisions, fewer markdowns, less stockout — using your own data.

Tech we use

The stack.

ClaudeGPTHybrid vector searchRAGContent automationDemand forecastingEvaluation harness
Questions

Common questions.

Where does AI actually help in commerce?

Search relevance, content production, customer-service deflection and demand forecasting — measurable places, not novelty.

How do you keep AI reliable?

Every feature is evaluated against your data before and after launch and monitored continuously, with a safe fallback when confidence is low.

Will we be locked into one AI provider?

No — we build model-agnostic, so you can move between Claude, GPT or open models. Privacy and lock-in are first-order concerns.

Is our data used to train models?

No — your data is not used to train third-party models; we use retrieval over your own content at query time.

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.