Margins are thin. AI has to earn its keep.
An AI operating system for ecommerce — catalog intelligence, support automation, and discovery built to convert, not just impress.
We've shipped ecommerce platforms, marketplaces, and the AI operating system that now differentiates them: semantic product discovery, automated catalog enrichment, support agents that resolve instead of deflect, and demand and pricing analytics teams actually use. Retail margins are thin — every AI project here is anchored to a conversion, cost, or retention number, not a vanity metric.
Part of
Ecommerce & Retail is one vertical view of a single system. The layer underneath — retrieval, scoped permissions, evaluation, and the audit trail — is the same one we build in every sector.
Where AI earns its keep.
The workflows in ecommerce & retail where AI does real work today — not a someday roadmap, the jobs it can take off your plate now.
Support automation
Agents resolving order status, returns, and product questions — deflecting tickets while raising CSAT.
Catalog intelligence
Generative enrichment of product data: descriptions, attributes, and SEO copy at catalog scale.
Semantic discovery
Search and recommendations that understand intent, not just keywords.
Demand & pricing analytics
Forecasting and pricing support grounded in your sales data.
Don’t take our word. Take the call.
3 of the agents above, live in your browser right now. Pick the job you actually need covered, press call, and talk to it the way your customers would — objections included.
A real call, not a recording. Press call once, then just talk — it hears you stop and answers. No buttons to hold.
This browser can’t capture speech — you can still type your side of the call. Chrome, Edge, or Safari for the full thing.
Live agents on fictional businesses and invented records. Nothing you say or paste here is recorded or stored — it lives in this tab and dies with it. A production deployment runs on your data, your systems, and your policy.
A product record, from raw feed to live listing
Not a feature list — the mechanism, step by step, from trigger to logged outcome.
Ingest
The raw record lands from the supplier feed or PIM exactly as sent — inconsistent fields, missing attributes, copy that reads like a spec sheet, not a listing.
Enrich
Structured attributes, on-brand description copy, and SEO fields generate against the product's actual spec sheet and your existing style guide — not a generic template repeated at catalog scale.
Check
Anything missing a required attribute, contradicting the spec sheet, or falling outside expected ranges (price, weight, dimensions) queues for review instead of publishing on a guess.
Publish
The enriched record writes back to the PIM and storefront, versioned, and reindexes into search and recommendations the same day — so discovery reflects the catalog you actually have.
Work in ecommerce & retail.
AI Support Agent for a DTC Ecommerce Brand
A production support agent handling order status, returns, and product questions across email and chat — integrated with Shopify and the brand's 3PL, with human escalation built in.
Generative Catalog Intelligence for a Marketplace
A generative enrichment pipeline turning inconsistent seller listings into structured, search-optimized product data — descriptions, attributes, and categorization at catalog scale.
Meditizer — Unified Commerce & Agent Ecosystem
A unified digital ecosystem: eCommerce storefront, field-agent portal, customer mobile app, and a multi-level referral engine — all orchestrated from one central admin CMS.
PassGlobe — Lifestyle Subscription Platform
A subscription-driven offers ecosystem built around three dashboards — user, vendor, admin — plus a conversion-focused marketing site. Weekly Stripe subscriptions, QR-based one-time redemptions, launched in Azerbaijan and built to expand globally.
Vaisela — AI Virtual Seller Assistant for Amazon
An AI-powered virtual assistant for Amazon sellers: a custom-trained LLaMA model analyzes Seller Central data and proactively recommends actions — privacy-by-design, piloted with 200 sellers, architected to scale to millions.
Orbix 365 — POS & Multi-Warehouse Commerce System
A comprehensive point-of-sale system: sales and purchases, barcode-tracked inventory across multiple warehouses, customer and supplier ledgers, eCommerce sync, logistics integration, and a real-time financial dashboard.
Disclosure — founder-owned venture
Every figure has a name behind it.
No rounded-up vanity metrics — each number below is tied to a specific, named engagement you can open and read.
Tell us which part of ecommerce & retail is the bottleneck.
Built for the rules of your industry.
Services that fit this industry.
What it plugs into.
An AI operating system only earns that name if it runs inside the systems you already have — not beside them.
Asked before the contract, not after.
Not if it's grounded correctly — enrichment generates from the product's actual spec sheet and your existing style guide, not a generic template repeated across the catalog. Anything missing a required attribute or contradicting the spec queues for human review before it ever publishes, rather than going live on a guess.
The design assumes thousands of records, not tens — enrichment runs as a batch pipeline with an exception queue for anything that fails a check, so a human reviews the records that need judgment instead of every record in the catalog. That's also what keeps discovery and search current: reindexing happens the same day a record changes, not on the next full catalog refresh.
Let's put AI to work in your business.
A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.