AI workflows for $5M–$200M ecommerce operators. We automate customer support, catalog ops, supplier coordination, returns, and marketing repurposing — so your team stops drowning in repetition and starts moving the metrics that grow the business.
Customer service drowning in tickets. Catalog updates eating marketing's time. Supplier emails piling up. Returns processed by hand. Marketing producing the same five formats over and over.
None of this needs human judgment. All of it needs human attention. That gap is what AI workflows close.
We've shipped AI on top of Magento, Shopify Plus, BigCommerce, and custom stacks. The wins compound — every workflow shipped frees attention for the next one.
Concrete examples. Each is a real production workflow shipped for an ecommerce operator. Yours will look different, but the shape is the same.
Auto-route incoming tickets by intent (order status, return, product question, complaint), draft contextual responses with order history, and resolve the easy 60% autonomously. Cuts CS labor 50–70%.
Generate product descriptions from supplier data, translate listings for new markets, auto-tag for SEO, draft category-page copy. The catalog work that drowns marketing teams becomes a background process.
Personalized follow-up sequences that reference exact cart contents, addressing likely objections per product. Beats generic "you forgot something!" emails by a wide margin.
Auto-respond to supplier emails, reconcile POs against deliveries, draft replies, flag exceptions to humans. The procurement back-and-forth nobody wants to do.
Turn one product launch into 20+ derivative assets — social posts, blog drafts, ad variants, lifecycle email content. Marketing team gets a multiplier without growing.
Auto-issue return labels, draft refund decisions based on policy, escalate fraud signals, generate reports on return reasons. Cuts return processing time by 60–80%.
For consumable products, predict likely reorder windows from order history and trigger personalized reorder nudges. Drives repeat revenue without nagging.
Post-purchase sequences that feel personal, segmented by purchase type and customer profile. Higher review-rate, higher quality content for SEO and social proof.
Big enough that operational drag is killing margin. Lean enough that hiring 5 more people isn't the answer.
Tickets pile up, response times slip, the team is stressed. You need leverage on volume without sacrificing quality.
Every new product, season, or supplier is hours of grunt work. You want catalog ops to feel like a function, not a queue.
You're on Magento, Shopify Plus, BigCommerce, or a custom stack — and you understand that AI work needs proper engineering, not duct tape.
Most AI consultants don't understand ecommerce data models. They wire up a workflow that works in the demo, breaks the first time real order data hits it, and call you to debug their own integration.
We've shipped 600+ production features for $10M–$200M retailers, including the multi-vendor architecture behind Ultracommerce. We know what an order, a refund, an inventory level, and a SKU actually look like in your database. We know what breaks at 2am on Black Friday.
That depth is why our AI workflows hold up in production ecommerce environments where most don't.
Two weeks. A ranked backlog of every automation worth building.
Learn more →Bespoke AI agents for the workflows where a single prompt isn't enough.
Learn more →Senior Magento, Adobe Commerce, and headless engineering. Our original craft.
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