Web · Mobile · WhatsApp · In-store
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
users · Bata
conversion +X%
commerce native
by default
Why retail picks us
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
Multi-objective recommendations (revenue, margin, inventory). Real-time. Cold-start handled. A/B-test native.
02 / CONVERSATIONAL COMMERCE
Browse, recommend, order, pay, track all conversational. WhatsApp commerce for GCC / MENA / India markets.
03 / AGENTIC SERVICE
Order status, returns, refunds, restocking, complaints. Agentic with RPA-triggered downstream actions.
04 / SUPPLY + DEMAND
Demand forecasting, inventory optimization, dynamic pricing, markdown timing. ML-augmented.
Retail AI patterns
AI RECOMMENDATIONS
Revenue + margin + inventory. Real-time. Cold-start handled. Multi-touch attribution.
SEARCH AUGMENTATION
Semantic search (intent-aware) layered with traditional facets. Natural-language query.
CONVERSATIONAL COMMERCE
WhatsApp, web chat, app chat. Catalog browsing, ordering, payment, tracking all conversational.
AGENTIC SERVICE
Persona-driven service agents. Triage to humans for complaints. Audit-grade for consumer-protection regulators.
DEMAND FORECAST
Forecast by SKU, store, day. Drives inventory, replenishment, markdown, staffing.
VISUAL AI
Image-based product search. Virtual try-on (apparel, beauty, eyewear).
Selected Production Work
FAQ
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.
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]