Category Performance

AI assistants that give your category managers complete visibility, instant root-cause analysis, and ROI-scored recommendations across every category, every week.

The Paak logoThe Paak logoThe Paak logoThe Paak logoThe Paak logoThe Paak logoThe Paak logoThe Paak logoThe Paak logoThe Paak logoThe Paak logoThe Paak logoThe Paak logoThe Paak logoThe Paak logo

The real cost is what they miss. Multi-driver issues look like a single problem through a spreadsheet. Dashboards show what happened. They do not explain why or recommend what to do next. CINDE does.

Complete category visibility, zero manual prep

AI agents pull sales, inventory, promo, and competitive data into a single view. Category managers start analyzing immediately instead of spending the first 90 minutes on data extraction.

Root causes, not first guesses

When sales dip, the system identifies all contributing factors and ranks them by revenue impact. 15+ prioritized opportunities per week instead of 1-2 problems caught manually.

Simulated recommendations before you commit

Every recommendation comes with projected ROI, tested against a digital model of your business. Your team validates and approves; the AI does the scenario math.ristique.

CategoryAI Assistant (available now)

Generates deep category intelligence on demand: what happened, why, what to do next. Covers all SKUs, all stores, all competitors, every week. Piloting at leading U.S. and European retailers.

PromoAI Assistant (coming soon)

Runs scenario analysis, plans promotions, compares options, and projects ROI before spend is committed. The execution layer for promotional optimization.

Trade Promo Assistant (coming soon)

Gives CPG partners unified trade spend visibility across retailers. AI-optimized spend allocation by retailer, brand, and event type.

$182M incremental profit
at a top U.S. grocer in a single year. 51% of that value came from promotions alone, across ~300 projects
$1M profit uplift
per promotion at Kraft Heinz. "With SymphonyAI, we put the shopper at the center of every decision." (Jessica Keenan, Director of Category Leadership)
80%+ reduction in category review prep time
From 5.5 hours per week to under 1 hour. Category managers shift from data wrangling to strategic decision-making

How does AI improve category management in retail?

AI assistants automate data extraction, scan every SKU and store for anomalies, identify multi-driver root causes, and generate ROI-scored recommendations. Category managers shift from spending hours pulling data to spending minutes reviewing prioritized actions.

What is the difference between a dashboard and an AI assistant for category management?

A dashboard shows what happened. An AI assistant explains why, predicts what will happen next, simulates options, and recommends the highest-ROI action. The difference is the step from information to decision.

Can CPG partners use the same retail AI platform as the retailer? div block.

Yes. CPG partners access category review, promotion analysis, and basket/loyalty insights through the same retail AI platform. Both sides work from the same data and analytical methodology.