AI Solutions For North American Business
Not a chatbot bolted onto your site. Applied AI trained on the decisions that actually move your margin forecasting, inventory, pricing and personalisation built with you and governed once it's live.
Most Businesses Are Guessing At Scale
Guessing
Orders, staffing and pricing set on gut feel and last year's spreadsheet, not this quarter's signal.
Waste
Overstock, stock-outs and markdowns eating margin that better forecasting would have protected.
Poor targeting
Marketing and offers built for an "average" customer who doesn't actually exist.
Preference AI, Explained Plainly
We build on preference and demand-modelling AI technology that learns what customers actually choose, not just what they say they want, and turns that into a live forecast your team can act on.
Every model is scoped to one decision first an inventory call, a price point, a staffing level and proven on real data before it touches production.
Built On Best In Class Platforms
We build on proven AI platforms so clients don't pay to reinvent them and we stay accountable for how the model performs inside your business.
SENSY AI
ISO 27001-certified preference-AI platform, deployed for demand forecasting and personalisation across retail and F&B clients. Powers several of our published outcome figures.
TOKYO · ISO 27001Future AI Products
We continually evaluate partner platforms across pricing, logistics-optimisation and financial-risk AI. This card will grow as new partnerships are confirmed.
Coming soonWhat This Looks Like In Your Sector
Store-level demand forecasting for new openings with no sales history.
Assortment and markdown timing tuned to actual customer preference.
Dynamic pricing bands that protect margin during promotion cycles.
Route and load forecasting to cut empty-mile freight cost.
Warehouse staffing models tied to predicted order volume.
Customs-delay risk scoring on cross-border shipments.
Shelf-life-aware ordering that cuts spoilage waste.
Promotional lift forecasting before a campaign launches.
Ingredient-cost sensitivity modelling for menu pricing.
Explainable, governed models built for regulatory review.
Client-preference modelling for product and offer design.
Risk-scoring pilots scoped to one portfolio segment first.
Governed By Design Not As An Afterthought
Every engagement runs PIPEDA-compliant, with no client data retained beyond the engagement. Model decisions stay explainable and auditable — because a forecast your team can't defend isn't a decision, it's a guess with better packaging.
Read our Privacy Policy →Improvement in demand-forecast accuracy on deployed models.
Reduction in stock-outs across representative retail deployments.
Before You Book A Call
No. We assess what data you already have POS, ERP, spreadsheets and build from there.
Pilots are typically scoped to prove value within a single quarter on one decision.
You do. We build it inside your operation and hand over governance documentation at embed stage.