Dynamic Pricing
An agent reads competitor prices, demand signals, and inventory position, then sets prices and markdowns within your guardrails to balance margin against conversion.
We deploy agents that set the price, recover the cart, resolve the return, and replenish the shelf inside your commerce, order, and payment systems. Every action runs within your guardrails, stays auditable, and keeps you the merchant of record.
An agent reads competitor prices, demand signals, and inventory position, then sets prices and markdowns within your guardrails to balance margin against conversion.
An agent forecasts demand by SKU and location from sales, weather, and local events, then triggers replenishment and rebalances stock across channels and stores.
An agent resolves order, tracking, and return questions end to end, executes refunds and exchanges against policy, and escalates only the edge cases to people.
An agent watches session behavior for hesitation, steps in with help or a right-sized incentive, and orchestrates omnichannel follow-up to recover the cart.
An agent scores every transaction against device, velocity, and network patterns to block fraud and chargebacks in real time while clearing legitimate buyers.
An agent makes your catalog readable to AI shopping surfaces and accepts a scoped payment token from a buyer's agent, completing checkout while you stay the merchant of record.
margins +9%
Prices now adjust in real time within margin floors the brand controls, and contribution margin rose 9 percent against the pre-engagement baseline.
A mid-market DTC apparel brandinventory -32%
Carried inventory fell 32 percent against the prior year while in-stock rates on top sellers held, freeing working capital the retailer redeployed into assortment.
A national home goods retailerchargebacks -68%
Chargebacks dropped 68 percent against the baseline period while approval rates on legitimate orders held steady, keeping the marketplace well inside processor thresholds.
A high-volume online marketplaceA first conversation covers the problem you want solved, whether AI fits it, and a sensible next step. You do not need an engineering team in place.