Industry · Retail & e-commerce

AI for retail growth

We build AI for retail and e-commerce teams — semantic product search, customer support copilots, returns automation, and demand forecasting that help growing storefronts convert more visitors without adding headcount.

+28%Search conversion
−40%Support tickets
+22%Forecast accuracy
4–6 wkTypical pilot
Industry context

AI that sells smarter

Retail AI must understand catalogs, inventory, and customer intent — not generic chat. We connect your storefront, PIM, and support stack with search, copilots, and forecasting tuned for SKU-level operations.

01

Semantic search

Natural language product discovery across variants, attributes, and bundles.

02

Support copilots

Order status, returns, and product Q&A with policy-grounded answers.

03

Returns automation

Intent classification, eligibility checks, and label generation at scale.

04

Demand forecasting

SKU- and channel-level forecasts for inventory and merchandising teams.

Use cases

Where retail AI delivers

High-impact features for DTC brands, marketplaces, and omnichannel retailers.

Search

Semantic Product Search

Hybrid retrieval over catalogs, reviews, and specs — natural language queries that actually find the right SKU.

  • Vector + keyword
  • Variant aware
  • Merchandising rules
Copilot

Support Copilots

Embedded assistants for order tracking, sizing, returns, and product recommendations with brand voice.

  • Policy RAG
  • CRM sync
  • Handoff to agents
Returns

Returns Automation

Automated classification, refund eligibility, exchange routing, and fraud pattern detection.

  • NLU triage
  • Label generation
  • WMS sync
Forecast

Demand Forecasting

Probabilistic forecasts by SKU, region, and channel with promo and seasonality overlays.

  • Time-series ML
  • Inventory alerts
  • ERP export
Personalize

Personalization

Recommendations, dynamic bundles, and email content tuned to browsing and purchase signals.

  • Real-time features
  • A/B ready
  • Privacy safe
Reviews

Review & UGC AI

Summarize reviews, detect sentiment shifts, and draft merchant responses at scale.

  • Sentiment NLP
  • Moderation queues
  • SEO snippets
01Can AI improve product search conversion?

Yes — semantic search typically lifts search-to-cart conversion 20–35% by understanding intent, synonyms, and attribute constraints beyond keyword match.

02Which platforms do you integrate with?

Shopify, WooCommerce, Magento, custom headless storefronts, PIMs, and helpdesks via API — plus ERP and WMS for inventory-aware answers.

03How fast can we launch a support copilot?

Most retailers pilot one use case — order status or returns — in 4–6 weeks with policy RAG and human handoff.

04Does retail AI require a large ML team?

No — we deliver managed pipelines, eval harnesses, and monitoring so lean teams can run production AI without hiring specialists.

Next step

Ready to grow retail with AI?

Tell us about your catalog and support volume — we'll design search, copilots, and forecasting with clear KPIs.