Simple answers. Fast decisions. More sales.

ShelfGrid’s CPG-native agents turn complex, multi-source data into simple answers and actionable insights.

The CPG Problem

Fragmented Signals

Slow, conflicting answers

Promo Waste

Spend without incrementality

Shelf Execution Gaps

Drift, phantom inventory, OOS

Price Whiplash

One-size pricing drains profit

RMN Complexity

Many networks, no shared learning

Decision Lag

Readouts miss the moment

Powerful Features for CPG Success

Our AI-powered platform provides everything you need to understand your market, optimize performance, and drive growth.

Dynamic, Conversational Dashboards

Dashboards evolve with conversations—pin, share, stay live.

Chat-Based Answer Engine

Instant, role-aware answers from authorized sources—price, promo, assortment, RMN.

Automated Insight Packs

Auto-prioritized next steps with impact and confidence.

Personalized, Agentic Actions

Role-tuned actions with guardrails—publish promos, store lists, audiences.

Zero-Copy Data Architecture

Data stays in your environment—secure, permissioned connections.

Deep Retail & Media Integrations

Ingest retailer/wholesaler/syndicated/media; activate to RMNs, portals, e-comm, CDP/CRM.

Built for Every CPG Professional

Whether you're managing brands, driving sales, or optimizing categories, ShelfGrid provides tailored insights for your role.

Category Manager

Optimize category performance and shelf space allocation

Key Use Cases

Analyze category performance across retailers and regions

Optimize shelf space allocation and planogram effectiveness

Track competitive positioning and market share trends

Identify growth opportunities within category segments

Shopper Insights Manager

Understand consumer behavior and shopping patterns across channels

Key Use Cases

Map customer journey and purchase decision drivers

Analyze basket composition and cross-category relationships

Segment shoppers by behavior and demographic profiles

Measure impact of promotions on shopper behavior

Trade Marketing Manager

Execute winning retail partnerships and promotional strategies

Key Use Cases

Plan and execute retailer-specific promotional strategies

Measure trade promotion lift and incremental volume

Optimize trade spend allocation across accounts

Analyze retailer performance and partnership opportunities

Revenue Growth Manager (RGM)

Drive profitable growth through pricing and promotion optimization

Key Use Cases

Optimize pricing strategies across channels and geographies

Analyze price elasticity and competitive price positioning

Evaluate trade promotion effectiveness and ROI

Model revenue impact of pricing and promotional changes

Sales / Account Executive

Drive account growth and manage key retailer relationships

Key Use Cases

Monitor account performance and identify growth opportunities

Track progress against sales targets and KPIs

Analyze win/loss patterns and competitive dynamics

Manage retailer relationships and negotiate terms

Finance / FP&A Analyst

Provide financial analysis and business performance insights

Key Use Cases

Create automated financial reports and executive dashboards

Conduct variance analysis and budget vs actual performance

Build financial models and forecasts for planning

Analyze profitability by channel, region, and product