AI DYNAMIC PRICING
The right price has a lifespan
of minutes. Our AI keeps up.
WolfCore's proprietary AI continuously reads your inventory, product life cycles and local demand — then recommends or applies price moves in real time, with exactly as much autonomy as your commercial policy allows.
An intelligence layer over every SKU
Shelf-life markdown engine
Batches approaching their sell-by date trigger gradual, escalating markdowns — suggested to your stock manager or applied automatically — so inventory reaches zero before the sales deadline does.
Demand-surge response
A sudden spike in sell-through triggers instant repricing suggestions — capture margin when demand surges, or protect availability of essential items. Your policy decides which.
Predictive event sensing
The platform watches events around each store — concerts, matches, weather, holidays — and predicts demand for specific items or whole sectors, alerting your team or adjusting prices ahead of the wave.
Continuous inventory intelligence
Real-time inventory monitoring across your network suggests price and rotation moves that keep shelves full, capital light and shrinkage low.
Your policy, your autonomy dial
Nothing acts outside your commercial policy. Configure autonomy per category, store or rule: suggest-only, approve-with-one-tap, or fully automatic within guardrails you set.
Margin you can see
Every AI decision is logged, explained and measured. Dashboards show uplift, waste reduction and margin impact per rule — so finance trusts what the AI does.
How the AI earns your trust
Observe
For the first weeks the AI runs in suggestion mode, learning your assortment, seasonality and store behavior — while your team reviews every recommendation.
Assist
Managers approve suggestions with one tap from the WolfCore console. Approval patterns teach the AI your real commercial preferences.
Automate
Category by category, you grant autonomy where the AI has proven itself. Every automatic action stays inside policy guardrails and is fully auditable.
Sales up. Waste down. Both measured.
Customers using WolfCore's automated shelf rotation and life-cycle pricing report sales uplifts of up to 15% and reductions of up to 50% in losses from expired products — with every number traceable in the platform.
Frequently asked questions
Will the AI change prices without approval?
Only if you want it to. Autonomy is configured per category, store and rule. Many customers start in suggestion-only mode and expand autonomy as results build trust. Every action, human or automatic, is logged and auditable.
How does event-based demand prediction work?
The platform continuously monitors signals around each store location — public events, weather, local calendar effects — and correlates them with your historical sell-through to predict demand spikes for specific items or sectors, generating alerts or price recommendations in advance.
Does dynamic pricing damage customer trust?
WolfCore enforces the fairness rules you define — floor and ceiling prices, maximum change frequency, protected essential items. Most customers use the engine primarily for markdowns, promotions and availability protection, which shoppers experience as better prices and fresher products.
What data does the AI need?
Product master data, inventory positions, sales transactions and batch/expiry data from your ERP — all through the same certified real-time connection that drives the shelf labels. No separate data project required.
Watch the AI price your own assortment
Bring a category. We'll show you what the AI would have done last quarter — and what it would have earned you.