Turning customer signals into margin with applied AI
Retail runs on margin and velocity. We build AI that turns first-party behavior, inventory, and content into owned systems — personalizing the storefront, sharpening merchandising, and defending margin from demand forecast to fulfillment.
Why AI mattersin Retail / E-commerce.
In retail, margin and velocity decide everything. AI matters when it turns first-party signals into real contribution-margin gains — from demand forecast through to fulfillment.
Our point of view is values-focused and ROI-first: every initiative ties to margin, we amplify your merchandising and marketing teams rather than replace them, and we build owned systems you control instead of black boxes.
- 01Margin is thinEvery point of contribution margin matters.
- 02Velocity decidesForecast and personalize in real time or lose the sale.
- 03First-party data winsYour behavioral data is the unfair advantage.
- 04Experience is everythingPersonalized beats generic, every time.
The AI opportunityin Retail / E-commerce.
fewer stockouts and markdowns
first-party data activated
target ROI within 90 days
Photo: Pexels
Purpose-built applicationsfor Retail / E-commerce.
Personalized Storefront Engine
Imagine every shopper seeing a store merchandised for them — products, content, and offers ranked in real time by intent, not last week's batch job.
CRFT builds the real-time personalization and ranking layer over your catalog.
Demand & Inventory Forecasting
An AI model reads sell-through, seasonality, and signal noise to call demand by SKU and location — cutting stockouts and markdowns before they hit the P&L.
CRFT engineers the forecasting pipeline and replenishment signals.
AI Merchandising Diagnostic
Know exactly where AI moves the needle across discovery, pricing, and lifecycle — a structured assessment that ranks use cases by margin impact and effort.
SPRK delivers the prioritized, ROI-ranked merchandising roadmap.
Contribution-Margin ROI Tracker
See which AI-driven campaigns, recommendations, and pricing moves actually defend contribution margin — live dashboards your finance team trusts.
KNTRL ties AI-driven commerce spend to contribution-margin outcomes.
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Mostly your first-party signals — behavior, catalog, and inventory data. We build the personalization and forecasting layer on top of the commerce data you already collect.