Retail
Drive conversion and margin with agentic AI across merchandising, customer service, and supply chain — personalized, always on, and grounded in your catalog and data.
Retailers compete on experience, price, and availability, yet manual merchandising and stretched service teams cap what they can deliver. We build AI systems that personalize discovery, resolve customer inquiries end to end, forecast demand, and optimize pricing and inventory across channels. Each system is grounded in your catalog and operational data, so recommendations and answers are accurate, on-brand, and drive measurable revenue.
Problems we solve
The operational bottlenecks that hold enterprises back — and where AI delivers measurable impact.
Generic experiences leave conversion on the table
Shoppers get one-size-fits-all merchandising and search, so relevant products go undiscovered and carts get abandoned.
Customer service cannot keep up at peak
Order status, returns, and product questions spike during promotions and holidays, overwhelming agents and driving long waits.
Demand forecasting misses, so stock does too
Manual and rigid forecasts lead to stockouts on winners and overstock on losers, eroding both sales and margin.
Pricing and promotions are slow to adjust
Competitor moves and demand shifts outpace manual pricing, leaving margin unrealized or products uncompetitive.
What we build
Production-grade capabilities, engineered for enterprise scale, security, and reliability.
Personalized discovery and recommendations
AI tailors search, browse, and recommendations to each shopper in real time, grounded in your catalog and behavior data to lift conversion and basket size.
Customer service agents
Agents resolve order status, returns, exchanges, and product questions end to end across chat, email, and voice, escalating only the exceptions to staff.
Demand forecasting and inventory optimization
Models forecast demand at SKU and store level, flag stockout and overstock risk early, and recommend replenishment and allocation actions.
Dynamic pricing and promotion intelligence
AI recommends price and promotion moves based on demand, competition, and margin goals, with explainable rationale and human approval on changes.
Product content generation
AI generates and enriches product descriptions, attributes, and localized copy at catalog scale, keeping content consistent and SEO-ready.
Omnichannel data integration
Agents operate across your ecommerce platform, OMS, and POS through governed connectors so experiences and inventory stay consistent across channels.
Why it matters
- Higher conversion and average order value
- Instant service across every channel
- Fewer stockouts and less dead inventory
- Faster, margin-aware pricing decisions
- Catalog content produced at scale
- Consistent experience online and in store
Implementation roadmap
Discovery & data assessment
We pick a high-value use case, inventory catalog, order, and behavior data, and set conversion, service, or inventory baselines with your team.
Pilot deployment
We integrate with your ecommerce platform and OMS, deploy on a category or channel with human review where needed, and A/B test against current performance.
Production rollout
We roll out across catalog and channels, relax review thresholds as results prove out, and deploy under agreed service levels ahead of peak season.
Scale across the business
We extend to adjacent use cases and markets and hand over monitoring so your teams operate and grow the system.
Common questions
Yes. We integrate with platforms like Shopify, Salesforce Commerce Cloud, SAP, and common OMS and POS systems through their APIs, so experiences and inventory stay in sync across channels.
We A/B test against your current experience and report conversion, AOV, and revenue per session, so the lift is proven on your traffic before full rollout, not assumed.
Yes, within the policies and limits you set. Routine cases are resolved end to end, while high-value or out-of-policy requests require human approval, and every action is logged.
Content is grounded in your product data and brand guidelines, reviewed on a sampling basis during ramp-up, and constrained so it does not invent attributes or claims.
Customer and transaction data stays inside your environment with access controls, is used only to power your experiences, and is never used to train third-party models. We honor consent and privacy requirements including GDPR.