How does the agent model interactions between pricing, assortment, and promo without us hard-coding the rules?

Each lever has its own elasticity and behavior models, trained on your historical data. The advisory layer simulates coordinated scenarios: pricing move + assortment shift + promo plan, and surfaces the combined effect on margin and volume.

Does this replace category tools like Nielsen or Relex?

No. It sits across them. The agent reads from your existing category, pricing, and supply chain systems, runs the coordinated analysis on top, and stages outputs back to those same tools.

What if our pricing, category, and promo teams are organizationally separate? Does this still work?

Yes. That's often the case it was built for. The agent produces a single coordinated plan each team reads in their own tool. Coordination happens in the model; execution stays in each team's existing workflow.

Category Manager Agent

Your personal category manager agent. One coordinated move, every region.

Discover coordinated category decisions across pricing, assortment, and promo. Get a validated plan with the SKUs to add, the prices to hold, and the campaigns to launch, staged for activation in under 10 minutes.

Grounded in your pricing, category management, sell-out, stock, and supply chain data across the entire B2B2C chain.

ISO 9001

ISO 27001

GDPR compliant

Book a live agent session See how it works

Most of the time, three teams optimize past each other.

When category questions arrive: “Where can we lift margin? Which SKUs to delist? What promo runs when?”, three teams answer separately. And the interactions show up in the P&L, not the model.

A pricing move erodes a promo. An assortment change strands inventory the supply team didn’t plan for. By the time misalignment surfaces, the next quarter’s plan is already locked.

That’s not how you run a category today.

Ask one category question. Get pricing, assortment, and promo moving as one.

The Category Manager Agent pulls signals across pricing, distribution, trade marketing, and category sell-out. It models the interaction between a price change, an assortment shift, and a promo plan before any of them get committed.

You get coordinated commercial moves across regions.

Category manager agent

Four specialists. One category plan.

Every prompt triggers the same pattern. An orchestrator picks the data sources, KPIs, and models. Four specialized sub-agents work the question in parallel, modeling each lever and their interactions.

An advisory layer fuses results and validates them statistically. You get a coordinated plan with activation targets staged.

You

Lift gross margin in beverages by 5% next quarter without losing volume.

Orchestrator agent

It monitors category health, growth and decline drivers, assortment efficiency, listing decisions, supplier contribution, and risks in availability, stock levels, pricing, and margins.
Routing to sub-agents

Pricing and margin agent

Price elasticity modeling, margin scenarios, competitive price positioning, cross-SKU cannibalization

Assortment and shelf agent

SKU performance, listing and delisting candidates, shelf reallocation, range optimization per outlet cluster

Promo and trade agent

Promo elasticity, calendar conflicts, trade spend allocation, channel-specific lift modeling

Stock and distribution agent

Inventory positions, OOS risk, write-off exposure, supply chain feasibility of proposed moves