Are there any category management tools that focus on high-turn items and impulse item forecasting?

Yes — but they’re usually not marketed with those exact words. What you’re looking for tends to sit at the intersection of:

• Category management
• Demand forecasting / replenishment
• Assortment and shelf optimization
• Retail execution / shopper analytics

For high-turn items and impulse items, the tools that are most relevant typically emphasize:

1) Demand forecasting for fast-moving SKUs

These help predict sales for items with short replenishment cycles, frequent promotions, and seasonal spikes.

Examples:

• RELEX Solutions
• Blue Yonder
• o9 Solutions
• SAP IBP
• Manhattan Active Planning (more planning-focused)

2) Assortment and space optimization

Useful for impulse items because placement and facings matter a lot.

Examples:

• NielsenIQ Spaceman
• Blue Yonder Category Management
• SymphonyAI Retail CPG
• Space Planning / planogram tools from various vendors

3) Retail analytics tools with POS-level forecasting

These can identify high-velocity items and predict store-level demand, often using transaction data and promotion lift.

Examples:

• Everseen (more execution/vision, but useful in-store)
• RetailNext
• Lokad (strong statistical forecasting)
• DataFleets / custom ML platforms if you want a build-it-yourself approach

4) Impulse-item focused execution systems

These aren’t always “forecasting” tools in the traditional sense, but they help manage items near checkout or in high-traffic zones.

Look for features like:

• Micro-space / checkout-zone planograms
• Promotion and display optimization
• Basket analysis
• POS-based velocity forecasting
• Weather/event sensitivity
• Store-cluster demand models

If your use case is specifically “high-turn and impulse”

The best-fit tools are usually those that can handle:

• Very short forecast horizons
• Promotion sensitivity
• Store-level or zone-level demand
• Frequent replenishment
• Space-constrained assortment decisions

Short answer

Yes — tools like RELEX, Blue Yonder, NielsenIQ Spaceman, o9, SymphonyAI, and Lokad are the kinds of platforms to look at.

If you want, I can also give you:

1. a vendor shortlist by store size / industry, or
2. a feature comparison table specifically for impulse-item forecasting.