Crisp Use Cases
Use Cases for CPGs
With actionable, store-level data at your fingertips, there’s nothing you can’t do. Here are just a few ways that teams across CPG can leverage Crisp to grow their business, keep shelves stocked, and increase profits.
With a single source of truth for retail data, everyone from sales to finance to operations has the information they need, where they need it.
- Automatically aggregate data from 40+ retailers and distributors into existing systems
- Harmonize data across sources for a holistic view of your retail business
- Integrate retailer data directly into your team’s favorite tools, from Excel to BI tools to cloud-based applications
With Crisp, you can keep an eye on every store and distribution center to keep shelves stocked and products selling.
- Track inventory and shipments from DCs to retailers
- Easily detect voids and out-of-stocks across thousands of stores
- Compare inventory with sales patterns to anticipate demand, allocate inventory, and refill orders
With an eye on performance at every store, sales teams can easily find opportunities to expand shelf space and drive velocity.
- Identify opportunities to expand distribution and product assortments
- Pinpoint velocity hotspots and trends to craft a data-driven sales story
- Evaluate sales lift from merchandising strategies and promotions
- Pinpoint at-risk stores to retain distribution and defend shelf space
Keep an eye on aging inventory to reduce waste and avoid penalties.
- Monitor inventory levels and sell-by dates to detect aging inventory
- Easily share reports with retailers to take action and move excess product
- Monitor weeks of supply to keep shelves stocked while keeping inventory lean
Plan and forecast
Great planning starts with a clear picture of what your business looks like today. Access harmonized, usable data across retailers to align teams and forecast with confidence.
- View sales patterns across retailers to understand top-level demand
- Align sales and operations teams around single source of truth
- Forecast accurately with clean, normalized data
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