AI for retail teams working across catalogs, orders and customer conversations.
We help retailers, brands and marketplaces apply AI where volume is high and margins are thin — product data, service contacts, stock decisions and on-site experience — and build the commerce software around it when needed.
- Catalog attribute completion
- Service deflection with handoff
- Demand and markdown planning support
- Search and recommendations
Workflows we work on
- 01
Order and returns service
Customer messages about where an order is, how to return it or why a refund has not arrived are answered from live order, shipping and policy data, with anything outside policy handed to an agent with the context attached.
- 02
Product data enrichment
Supplier feeds and spreadsheets are normalized, missing attributes are drafted from specifications and images, and a merchandiser approves changes before they reach the storefront.
- 03
Store and channel replenishment
Sales history, promotions and seasonality feed a forecast by item and location, and planners review suggested orders and exceptions instead of building them line by line.
Constraints we design for
Peak-season load
Systems are sized and tested for promotional and holiday peaks, with graceful fallback to human queues when volume or confidence thresholds are exceeded.
Brand voice and accuracy
Customer-facing text follows your tone and product facts. Prices, stock and delivery promises come from source systems, never from model memory.
Fragmented platforms
Commerce platform, order management, warehouse, marketplace and loyalty data rarely agree. We map the sources of truth before building on them.
Customer data consent
Personalization uses only data customers have agreed to share, and respects regional privacy rules and opt-outs.
Use cases we can explore
Where we start
Discovery begins with a few direct questions about your operation.
- 01What share of service contacts are about order status, returns or delivery?
- 02Where does product data come from, and who approves it before it goes live?
- 03Which platform is the source of truth for price, stock and orders?
- 04How are promotions and peak periods planned today, and where do forecasts miss?
Relevant solutions and services
- Customer Support AgentsResolve routine customer inquiries from your policies and live account data, taking approved actions and handing everything else to your team.
- Personalization & RecommendationsShow each customer products, content and offers that fit their behavior, tested against a control and within the consent they have given.
- Demand ForecastingForecast demand by product, location and week, with the uncertainty visible, so planners can make and explain their decisions.
- Sales & Marketing AssistantsResearch accounts, draft tailored outreach and review content against brand rules, with reps and marketers approving everything that goes out.
- AI ChatbotsText chat assistants for customer support, internal help desks and product experiences, grounded in your knowledge and connected to your systems.
- Machine Learning & Predictive AnalyticsForecasting, classification, anomaly detection and recommendation models trained on your data and evaluated against the decisions they support.
- E-commerce DevelopmentStorefronts, catalog, checkout and the integrations behind them, built so the operations team can run the store without developers.
- Data EngineeringData architecture, pipelines, quality and access that make your data usable for reporting, operations and AI.
Questions buyers ask
Usually not. We integrate with your existing platform and order systems. Where a custom storefront or service is the better route, see E-commerce.
Tell us the workflow you want to improve.
Tell us about the workflow or product. We reply with questions, a suggested first step and who would work on it.