AI for Retail & eCommerce Brands
Custom AI tools for DTC brands, multi-channel retailers, Shopify merchants, and marketplace sellers. Automate the customer service tickets you handle every day, scale product copy across SKUs, forecast inventory more accurately, and personalize the shopping experience without enterprise headcount.
The work that grows with every SKU and every order
Retail and eCommerce operations look simple from the outside and are not. Customer questions, listing maintenance, inventory planning, and reviews all expand as you grow. The teams that win are the ones who automate the structured work and reserve human time for brand and merchandising.
Customer service across every channel
Order status, shipping ETAs, sizing questions, returns, and refunds arrive on email, chat, SMS, Instagram DMs, and a dozen other surfaces. Most of it is repetitive. None of it can wait.
Product copy at SKU scale
Every new SKU needs a title, bullet points, a long description, alt text, and marketplace-specific variants. Multiplied by hundreds of products, it becomes its own full-time job.
Inventory and demand forecasting
Stock-outs cost you sales; over-buying ties up cash. Most small retailers run on gut and last-month's report. Better forecasting is available, but plumbing it into your workflow is the hard part.
Personalization without enterprise budgets
Personalized email, segmented copy, audience-specific landing pages, dynamic recommendations, all of it works better, and all of it requires variant production at a scale most brands can't match.
Custom AI tools for retail and eCommerce
Built around your store platform, your data, and your brand voice. We extend the systems you already run rather than replacing them.
Customer service bot
Handles order status, shipping, returns, sizing, and the 80% of questions that come in by email, chat, or DM. Routes the actual edge cases to a human with full context, so nothing gets lost.
Product description generator
Drop product specs and photos, get back on-brand titles, bullets, descriptions, and SEO-optimized variants for Shopify, Amazon, and your other channels. Ten-minute task per SKU becomes thirty seconds.
Personalized recommendation engine
Recommendations on your PDP and cart pages tuned to your catalog and your shoppers' behavior. Lifts AOV without forcing you onto a heavy enterprise platform.
Review and feedback synthesizer
Reads every review, support ticket, and survey response. Surfaces top friction points, sizing patterns, defect signals, and feature requests in a weekly digest your merchandising team can act on.
Email and SMS marketing drafter
Drafts on-brand campaign and flow content from your product catalog and customer segments. Plugs into Klaviyo, Postscript, and the major marketing platforms.
Inventory forecasting and reorder alerts
Pulls sales velocity, lead times, and seasonality from your store and accounting data. Flags reorder points, predicts stock-outs, and surfaces overstock SKUs before they become a problem.
Returns and RMA workflow
Captures the return reason, validates the claim, generates the label, and updates the customer. Reduces friction for legitimate returns and catches patterns of fraud automatically.
Lifestyle image generation
Generates on-brand lifestyle and contextual product imagery from your product photos, for ads, PDP, and social. Cuts photoshoot dependence for evergreen and test creative.
Operators first, coders second
Most AI shops can build a polished app. Fewer can tell you whether it's the right thing to build.
Our team's background spans private equity, M&A, operating small businesses, and serving on boards. We understand the unit economics of physical-goods businesses, the cash-flow realities of inventory-driven brands, and the difference between automation that protects margin and automation that just looks good in a deck.
That filter shows up in every engagement: we design tools that strengthen the brand underneath, not pretty interfaces that gather dust on a shelf.
What retail and eCommerce brands ask
Specific to the questions we hear most often. For general questions, see our main FAQ.