Retailer Scan Data AI

Turn retailer scan data into clearer business decisions.

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.

  • Retailer POS data
  • Desktop and mobile access
  • Customizable reporting
Illustrative Retailer Scan Data AI dashboard showing retailer sales and performance analysis
Illustrative dashboard using sample data.
Why Retailer Scan Data AI

One clearer view of retailer performance.

Bring retailer scan information together so decision makers can examine performance from national accounts down to stores and products.

Respond to demand

Analyze sales trends and respond effectively to changing market demand.

Collaborate clearly

Support transparent retailer collaboration with shared business information.

Understand categories

Analyze category performance and identify opportunities to improve sales.

Performance views

Move from the market view to the detail.

Retailer Scan Data AI supports analysis across the principal dimensions described by GAT System.

01

Supplier performance

Review supplier results within the wider retailer performance picture.

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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.

02

Category performance

Examine category-level patterns and compare performance over time.

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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.

03

Retailer share

Understand retailer-share performance across the available account information.

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Review retailer-share information alongside the relevant account and category results. The connected view gives decision-makers clearer context when assessing retailer performance.

04

Brand performance

Compare brand results using the dimensions available in the reporting view.

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Examine how individual brands perform across the available retailer scan information. Compare results over time to identify meaningful changes and areas for deeper review.

05

Location and store

Move from location-level information into individual store performance.

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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.

06

Product performance

Drill into product detail to support more focused business analysis.

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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.

Dashboard examples

Business information made easier to explore.

Retailer Scan Data AI combines management dashboards, enterprise reporting, ad hoc analysis and visual views of retailer scan information.

Illustrative Retailer Scan Data AI dashboard with management, retailer and product analysis views
Sample interface for presentation purposes; displayed values are illustrative.
01

Management dashboard

View sales and performance trends through charts, KPIs and scorecard information.

02

Detailed analysis workspace

Use tables, charts, filters and drill-down analysis to move into detailed information.

03

Retailer performance dashboard

Assess retailer-account, retailer-share and category performance information.

How it works

A direct path from scan data to reporting.

  1. 1

    Retailer scan data

    Receive the relevant retailer scan information through daily or monthly data updates.

  2. 2

    Data update and processing

    GAT prepares, updates and processes the incoming data for reliable analysis.

  3. 3

    Central SQL data warehouse

    Bring the processed information into a central analytical data warehouse.

  4. 4

    BI portal for business users

    Give management, buyer or retailer, sales and marketing teams access to relevant dashboards and reports.

Designed for practical use

Clear information, wherever decisions happen.

Secure environment

Keep approved business reporting within a controlled platform environment.

Visualized data

Explore performance through dashboards, reports, tables, charts and graphs.

Access across devices

View supported Retailer Scan Data AI information from desktop computers and mobile devices.

Customizable reporting

Adapt dashboards and report templates to relevant business requirements.

Ready to see your retailer data more clearly?

Discuss Retailer Scan Data AI with GAT System.

Confirm your retailer data sources, reporting needs and implementation approach.

Enquire about Retailer Scan Data AI