Commerce · Personalization · ServiceWeb · Mobile · WhatsApp · In-store

Retail AI Automation that converts.

Retail wins on conversion, basket size, and retention. AI compounds all three when deployed right — and damages all three when deployed wrong. We build AI for e-commerce, omnichannel retail, and brick-and-mortar. Live deployments at Bata Pakistan (1M+ users), regional commerce platforms, and consumer marketplaces.

Wyoming C-Corp · Dallas HQ · 585 engineers on tap
1M+
users · Bata
AI recs
conversion +X%
WhatsApp
commerce native
Omnichannel
by default
Why retail picks us

Retail AI is conversion math. We optimize the math.

Most retail AI vendors sell tooling. We deploy outcomes — measured in revenue per session, conversion rate, basket size, return rate. We instrument the funnel and tune for what matters.

01 / RECOMMENDATION ENGINE

Beyond collaborative filter

Multi-objective recommendations (revenue, margin, inventory). Real-time. Cold-start handled. A/B-test native.

02 / CONVERSATIONAL COMMERCE

Web · app · WhatsApp

Browse, recommend, order, pay, track — all conversational. WhatsApp commerce for GCC / MENA / India markets.

03 / AGENTIC SERVICE

Pre · sale · post

Order status, returns, refunds, restocking, complaints. Agentic with RPA-triggered downstream actions.

04 / SUPPLY + DEMAND

AI forecasting, dynamic price

Demand forecasting, inventory optimization, dynamic pricing, markdown timing. ML-augmented.

Retail AI patterns

Six retail use cases. All revenue-impacting.

AI RECOMMENDATIONS

Multi-objective

Revenue + margin + inventory. Real-time. Cold-start handled. Multi-touch attribution.

SEARCH AUGMENTATION

Semantic + filter

Semantic search (intent-aware) layered with traditional facets. Natural-language query.

CONVERSATIONAL COMMERCE

Browse → buy in chat

WhatsApp, web chat, app chat. Catalog browsing, ordering, payment, tracking — all conversational.

AGENTIC SERVICE

Returns, refunds, status

Persona-driven service agents. Triage to humans for complaints. Audit-grade for consumer-protection regulators.

DEMAND FORECAST

SKU-store-day

Forecast by SKU, store, day. Drives inventory, replenishment, markdown, staffing.

VISUAL AI

Image search, try-on

Image-based product search. Virtual try-on (apparel, beauty, eyewear).

FAQ

Questions buyers actually ask.

Will AI recommendations actually lift conversion?

When done right, yes — typically 8-20% conversion lift in our deployments. The lift depends on baseline (sites with weak recommendations gain more), product catalog depth, and signal quality (browse + transactional history).

How do you handle cold-start (new users, new products)?

Hybrid: content-based for products (vector embeddings of product attributes), demographic / context-based for users (location, channel, time-of-day). Personalization improves as signal accumulates.

WhatsApp commerce — is it real?

Real and growing — especially in GCC, MENA, India, and parts of Africa. Catalog, ordering, payments, support — all in one chat thread. We've shipped it. Conversion rates often beat web.

Can the agentic service integrate with our existing OMS / WMS?

Yes. We integrate with Shopify, Magento, custom OMS / WMS, SAP retail, Salesforce Commerce, Dynamics 365 Commerce. The agent triggers downstream actions via API.

Scope a retail AI engagement.

30-min call with our team. Bring your conversion metrics, your catalog, your channels. We'll model the ROI.

Retail AI Automation · Wyoming C-Corp · Dallas HQ · +1 510 850 4645 · [email protected]