Demand Signal Repository 

SKUtrak organises data collected from your grocery customers in a consistent, complete and curated manner. All data, from all customers, is organised in a single universal data model so that you can operate standard processes, review standard reports and perform standard analysis as if all your customers supplied the same data, in the same way, using the same terminology and references.

The SKUtrak Demand Signal Repository ("DSR") organises Flow-of-Goods trading data into a single grocery data model which:

• Translates between different retail customer terminology, timing and technology; reducing the need to understand the idiosyncrasies of different retailer systems and enabling consistent reporting, analytics and insight
• Links different supply chain signals - stock movements, inventory positions, till sales - so that you can move away from point-in-time data islands to rich, related flows where activity at any point in time can be understood in the context of how it arose and its subsequent impact
• Represents and links all forms of product information; consumer units, traded units and shipping units so that you can switch between case and unit pictures of trading performance

The universal SKUtrak data model ensures that you and your team speak the same language across all major grocery customers; consistency of measures and metrics increases your ability to manage in a repeatable manner.

SKUtrak also provides Master Data Management ("MDM") to connect and translate retailer product information with your own picture of products. Using a proprietary AI, SKUtrak matches your product definitions with those found in grocery customer data and retains both in the DSR; this allows you to review performance in your terms, across multiple retailer customers, or in customer terms during meetings with them.

The SKUtrak MDM manages these different product definitions through a simple self-service flow:

• You upload or create your own product reference data - codes, descriptions, categories, sizes - any information that you want to hold about your products
• SKUtrak identifies all product references (code, description, category, pack size etc.) in grocery customer data as it is stored in the DSR, linking all facts - sales, stock levels, availability etc. - to both the retailer's product definition and yours
• SKUtrak MDM AI detects any unmatched retailer product definitions (new product codes) and automatically identifies the most likely matches from your product reference data
• You review suggested matches and approve, or amend, so that every fact within SKUtrak is linked to one of your product definitions; enabling analysis from your (market-wide) perspective or that of any one of your customers