Commerce · Personalization · Service

Web · 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

0 M+

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.

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).

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.

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.

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]