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
Your personal category manager agent.
Most of the time, three teams optimize past each other.

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.

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.

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
Insights and advisory agent
Fuses results from all four. Models the interactions between levers. Applies statistical validation. Ranks coordinated moves by combined margin and volume impact, factoring stock and supply constraints.
Favicon
Analyst

Lift beverages gross margin without losing volume by moving three levers together instead of separately.
Plan:

  • Pricing: 12 SKUs at +3pp (elasticity safe), 4 SKUs hold (share risk too high), 1 SKU −2pp tactical defense
  • Assortment: delist 9 underperformers across 220 outlets, reallocate shelf to 3 higher-margin SKUs in same brand family
  • Promo: rebuilt calendar — pull-forward 2 events in regions absorbing the price move, suppress 1 event in regions where assortment shift carries the lift
  • Stock: 8 SKUs redistributed across 4 regions to stage the new mix

All staged for push to category management, pricing, and trade campaign systems.
Targets: +5% gross margin, hold volume share within 1pp, stock turn uplift, dead stock reduction.

Why category teams trust the Category Manager agent

Cross-lever interactions modeled, not assumed
Pushable to pricing, category, and trade campaign systems
Per-outlet, per-SKU drillable
Statistics and ML first, LLM-agnostic
Native on Azure or AWS. Direct DWH integration
Private or public cloud, or on-premise deployment
ISO 27001
ISO 27001
ISO 9001
ISO 9001
GDPR compliant
GDPR compliant
LLM-agnostic
LLM-agnostic
Private & Public Cloud available
Private & Public Cloud avilable

Go from data-ready
to analysis-ready

The Category Manager Agent doesn’t depend on your data being clean before the implementation.

SightPulse’s team handles preparation, standardization, and enrichment in the background, so by the time the agent reads anything, it’s analytically ready.

Preparation
Preparation
Validation, clean-up, transformation. Missing values, format drifts, duplicate records, and outliers caught before they reach the statistical engine.
Standardization
Standardization
SKU hierarchies, pricing structures, promo codes, outlet clusters, and category definitions aligned to a single schema across pricing, category management, and trade systems.
Enrichment
Enrichment
Elasticity estimates, margin bands, stock turn predictions, and category segmentation variables added to the harmonized base.

Connected to all the sources that matter

Connected to all the sources that matter

 

The category doesn’t move alone

Our category manager agent is just one tool in the toolbox. Check out these if you’re working on adjacent decisions.

Market strategy agent
Market strategy agent

Sets the brand and portfolio direction the category plan is coordinating around.

See MSA
Customer engagement agent
Customer engagement agent

Activates the consumer side of the category plan through CRM and personalization.

See CEA
B2B Sales Booster agent
B2B sales booster agent

Executes the category plan through field-side accounts and trade campaigns.

See SBA

+7% gross margin. −47% dead stock. Year on year.

A regional retail leader brought assortment, stock, and purchasing decisions into a single coordinated layer. The Category Manager Agent surfaced margin opportunities, delisting candidates, and stock redistribution moves on demand, keeping the category P&L moving together.

+7%
Gross margin YoY
−47%
Dead stocks (initial system usage)
−63%
OOS-driven revenue loss
Steady
Stock turn uplift YoY

Frequently asked questions

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

    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.

A category plan in minutes. Three levers, moving as one.

Bring your toughest category question. Watch the Category Manager Agent interpret it, run scenarios across pricing, assortment, and promo in parallel, validate the interactions, and stage the moves for push. All in under 10 minutes.

Coordination and activation in one place. Across the entire B2B2C chain. Fully agentic.

Book a 30-minute live session
Bring your toughest commercial question. Watch the agent solve it in under 10 minutes.
ISO 27001
ISO 27001
ISO 9001
ISO 9001
GDPR compliant
GDPR compliant
Private & Public Cloud available
Private & Public Cloud avilable