#1Beyond the recommendation widget
Recommendation models still earn their keep, but they are now table stakes. The marginal dollar of AI investment now goes into systems that influence what gets bought, where it is positioned, and how much it costs — not just what is shown next to it on a page.
#2Dynamic pricing without alienating customers
Dynamic pricing creates measurable lift in margin and sell-through, but only when the model is anchored to a fairness policy. We deploy pricing models with explicit guardrails: maximum daily change, customer-segment caps, and explainability against a published 'fairness frame'. Customers do not mind dynamic pricing — they mind feeling cheated.
#3Demand forecasting that finance teams trust
Forecasting accuracy compounds across the business: better forecasts unlock leaner inventory, more confident promotions, and tighter cash conversion. The forecasts that earn finance's trust are explainable, hierarchical (SKU → category → region), and reconcilable against actuals every cycle.
#4Generative experiences across the funnel
Generative AI is now in retail customer journeys: copilots for shoppers, automatic merchandising copy, on-brand product photography, and creative production at SKU scale. The unlocked value is not the novelty — it is the dramatic reduction in production cost and the speed at which experiments can be run.
