Respond to demand
Analyze sales trends and respond effectively to changing market demand.
Retailer Scan Data AI integrates retailer scan and point-of-sale data into a unified analytical view for supplier, category, retailer share, brand, location, store and product performance.
Bring retailer scan information together so decision makers can examine performance from national accounts down to stores and products.
Analyze sales trends and respond effectively to changing market demand.
Support transparent retailer collaboration with shared business information.
Analyze category performance and identify opportunities to improve sales.
Retailer Scan Data AI supports analysis across the principal dimensions described by GAT System.
Review supplier results within the wider retailer performance picture.
Bring supplier sales and performance information into a consistent view for easier review. Use the result to support clearer discussions and more transparent collaboration with retailers.
Examine category-level patterns and compare performance over time.
Compare category results across the available reporting periods to understand changes in demand. This helps teams identify categories that may need closer attention or further analysis.
Understand retailer-share performance across the available account information.
Review retailer-share information alongside the relevant account and category results. The connected view gives decision-makers clearer context when assessing retailer performance.
Compare brand results using the dimensions available in the reporting view.
Examine how individual brands perform across the available retailer scan information. Compare results over time to identify meaningful changes and areas for deeper review.
Move from location-level information into individual store performance.
Start with a broader location view, then move into store-level detail where available. This makes it easier to identify differences between markets and focus follow-up on the relevant stores.
Drill into product detail to support more focused business analysis.
Review individual product results within the relevant brand, category, retailer or store context. Use the detailed view to understand which products are contributing to performance and which require closer attention.
Retailer Scan Data AI combines management dashboards, enterprise reporting, ad hoc analysis and visual views of retailer scan information.
View sales and performance trends through charts, KPIs and scorecard information.
Use tables, charts, filters and drill-down analysis to move into detailed information.
Assess retailer-account, retailer-share and category performance information.
Receive the relevant retailer scan information through daily or monthly data updates.
GAT prepares, updates and processes the incoming data for reliable analysis.
Bring the processed information into a central analytical data warehouse.
Give management, buyer or retailer, sales and marketing teams access to relevant dashboards and reports.
Keep approved business reporting within a controlled platform environment.
Explore performance through dashboards, reports, tables, charts and graphs.
View supported Retailer Scan Data AI information from desktop computers and mobile devices.
Adapt dashboards and report templates to relevant business requirements.
Confirm your retailer data sources, reporting needs and implementation approach.