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Rudy Abitbol
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Every promotion is a bet. AI can help you size it.

I help retailers connect product information, local demand and transaction history, so pricing, promotion and stock decisions rest on more than instinct. People stay in charge of the commercial call.

Discuss your business →

What I see in retailers.

Patterns that come up again and again. Your version will have its own details.

Product content drifts across channels.

Online, in store and on marketplaces, the same product says different things, and missing attributes cost sales.

Promotions are judged by one SKU.

A discount lifts one product and quietly eats margin on its neighbours.

Stock is in the wrong store.

Some locations sell out while others hold slow movers.

The nearest store isn’t always the best one.

Fulfilment decisions ignore shipping cost, split orders and margin.

Where it tends to pay first.

A few examples of what the work can look like. We choose yours together, after looking at how your business actually runs.

Make product content consistent across channels.

Supplier information, online descriptions and store-facing details do not always agree. Missing attributes make products harder to find and compare.

What changes: An enrichment workflow that drafts attributes and English/French content from approved sources, flags gaps and routes changes for review.

What we track
Handling time per item, should go down
Attribute completeness, should go up
Approval rate, should go up

Evaluate price and promotion decisions together.

A discount may increase units sold while reducing category margin. Different stores and customer groups can respond differently.

What changes: A decision-support pilot that compares pricing or promotion scenarios against agreed commercial constraints.

What we track
Margin contribution, should go up
Volume, should go up
Category effects, should go up

Reduce the mismatch between stock and demand.

Some stores run short while others hold slow-moving stock. Evaluate demand and movement across locations before changing replenishment rules.

What changes: A planning pilot that identifies stock exceptions and evaluates replenishment or transfer recommendations against service and inventory goals.

What we track
Stockouts, should go down
Inventory levels, should go down
Service rate, should go up

Route each order with service and margin in mind.

The nearest store or warehouse may not be the best place to fulfil an order once stock, shipping cost and customer commitments are considered.

What changes: An order-routing decision pilot that compares eligible fulfilment locations and explains the recommended option.

What we track
Cost per order, should go down
Split shipments, should go down
On-time delivery, should go up

How we’d find yours.

Structured reviews with your merchandising, pricing and operations leads, using last season’s real decisions.

01

Review the season

Promotions, prices and stock movements, category by category.

02

Find the surprises

Where results differ from what the people who made the call expected.

03

Rank and choose

Ranked by margin at stake. We pick where to prove it first.

See the AI Opportunity Workshop →

Commerce, product data and digital maturity work with retail brands in Canada and the US.

Let’s look at your business.

Tell me where work slows down and who’s involved. We’ll decide together where AI earns its place, and where it doesn’t.

Talk to Rudy →English or French. Directly with Rudy.