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.
How we workin Retail / E-commerce.
One method, tuned to your context: we design the whole system — people and AI — rank every move by ROI across four lenses, and build in iterative cycles that compound value.
Design the whole system
We map the journey from demand forecast to fulfillment, designing where AI personalizes and optimizes and where merchandising and marketing teams stay in control — with adoption built in.
Quantify the value
We score every opportunity across four lenses tied to the P&L — contribution margin, velocity, conversion, and risk — so we build what defends margin, not vanity metrics.
Tailor to your context
We build owned systems on your first-party data, integrating with your storefront, inventory, and martech — tuned to your catalog and customers, not a black box.
Iterate and compound
We ship a first capability fast, measure against margin and sell-through, and iterate each cycle — compounding velocity and contribution margin.
The AI opportunityin Retail / E-commerce.
lower inventory with AI demand forecasting
first-party data activated
target ROI within 90 days
- 1McKinsey, 2024 — AI in distribution operations; fill rates improved 5–8%
- 2AWSM LABS CRFT engagement guarantee — 3x ROI on the build fee by day 90, or we keep working at no charge
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.
Custodial ROI: The Fourth Lens — and the Only One Someone Else Grades
You grade three of your four AI ROI lenses. Somebody else grades the fourth, and you will not meet them until diligence. In 2014, 87 percent of dealmakers said much the same about cyber security — folded into a general IT review, not a risk category in its own right. Three years later Verizon cut $350 million off the price of Yahoo.
Pablo Cruz Pou · September 14, 2026 · 22 min read
The Four-Lens AI ROI System
In July 2025, the most-quoted number in enterprise AI said 95 percent of deployments returned nothing. Eight months later, a survey of middle-market leaders said 97 percent of AI pilots had succeeded. Neither measured a P&L. Both were describing your portfolio.
Pablo Cruz Pou · September 14, 2026 · 19 min read
Experiential ROI
Your adoption dashboard says the rollout worked. Usage is up, logins are daily, every rep on the team shows green. Ask five of those reps how they actually feel about the tool, and you'll hear something the dashboard was never built to show you.
Pablo Cruz Pou · September 4, 2026 · 16 min readRetail / E-commerce,answered.
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.