💡We're always improving Crisp SKUtrak to help you work smarter.
Now available in SKUtrak Promote - our new AI Uplift Prediction Agent
We’re adding AI-powered uplift predictions to SKUtrak Promote, so you can plan promotions with confidence. The new AI Uplift Agent predicts how each promotion will perform before it goes live — helping you plan smarter, move faster, and invest where it counts.
The agent analyses your past promotions, finds similar activity, and models the expected uplift for upcoming plans. Each prediction includes a confidence score and context from comparable events, so you can see not only what’s expected, but why.
With uplift predictions built into your workflow, you can:
- See forecasted ROI before you invest
- Make confident calls when retailers push for more support
- Keep every team aligned on one trusted view
The result: faster planning, sharper decisions, and stronger returns. Read more in our product guide here.
Experience predictive planning in action with a three-month free trial of SKUtrak Promote. Join the waitlist below to secure your spot.
Fixes
Corrections to your Co-op ranging and availability metrics
6th November
Following Co-op removing their ‘gap scan’ metric that was used to calculate availability, we synthesised our own metric which was released in May.
Today, we have released a fix for an error found in how we estimated the approximate number of stores a product is ‘ranged’ in. We are confident that this change to the synthesised Stores Ranged metric will ensure SKUtrak more accurately reflects each product's distribution within the Co-op estate.
Understanding the impact
From our analysis, the biggest change will be seen for those SKUs that aren’t in full distribution, but there may be a small degree of change even for those SKUs with high distribution.
We have restated all the data for the below metrics:
- Stores Ranged
- Availability %
- Lost Sales Value
- Rate of Sale Value/Volume (using Stores Ranged)
If you have used any of these metrics since May 2025, we recommend you restate them .
If your organisation uses SKUtrak Share to feed data directly into other systems which use any of the above metrics, we recommend you re-run those processes to ensure any downstream systems contain the best possible data. If you make use of the data update timestamp in your extraction logic, you should expect a large amount of data to be returned the first time you run your extraction processes, following the release of this fix.
Should you have any questions about the impact or need assistance from us, please do get in contact with Customer Success (skutrak-cs@gocrisp.com), who will ensure you get the right support.