Demand you cannot predict
Forecasts miss promotions, seasonality and new products, leading to stockouts and markdowns.
Industries
Personalization, demand forecasting, search and customer data platforms.
Talk about your sector
Overview
Retail margins are decided by forecasting, pricing, personalization and operations, and each of those is now a data and AI problem. Customers expect relevant products, fast delivery and support that knows them. Retailers expect systems that keep up during peak season.
We build the customer data platforms, forecasting and recommendation engines, search experiences and commerce platforms that retailers and marketplaces run on, from the storefront to the warehouse.
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Challenges
Forecasts miss promotions, seasonality and new products, leading to stockouts and markdowns.
Recommendations ignore context, inventory and margin.
Online, in-store, loyalty and support data never form one profile.
Customers cannot find products that are in stock.
Platforms and integrations strain under traffic and order volume.
Order, return and delivery questions overwhelm teams.
Bring the use case. We will bring the engineering point of view.
Solutions
Hierarchical forecasts and inventory optimization integrated with planning systems.
Explore this serviceReal-time recommendation engines that consider context, inventory and margin.
Explore this serviceUnified profiles, segmentation and activation across channels.
Explore this serviceSemantic and multimodal search with merchandising controls.
Explore this serviceStorefronts, order management, integrations and performance for peak traffic.
Explore this serviceAssistants for order status, returns and product questions with handoff to agents.
Explore this serviceWhere it fits
FAQ
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Next step
Tell us what you are trying to build and we will come back with a point of view, not a pitch.