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BI Analysts

Champion a new way of uncovering store reality, and transform shelf data from an underutilized asset to a competitive advantage.

Trax for BI Analysts

Create objective insights

Create objective insights driven by transparent data emerging from actual shelf images

Turn around reports in a flash

Create role-specific reports with a wide range of KPI metrics

Understand and communicate data effectively

Understand and communicate data effectively to stakeholders by visualizing all the data you need

Put shelf metrics to work

Get a single source of shelf intelligence that helps you get ahead of issues and empower frontline teams to solve challenges before they become challenges.

Start discovering

Access real shelf images and integrate raw data into any reporting tool to discover patterns in store reality and communicate meaningful insights to customer-facing teams.

Dig deep into your data

End manual reporting and endless data aggregation with a unified flexible platform that lets you choose from a wide array of shelf KPIs, and recut data by store, product, sales rep and more.

Become a data hero

Leverage first-of-a-kind syndicated shelf data that covers all aspects of competitor activity in stores including distribution, placement, promotions, pricing and more.

Be a market and competitor intelligence powerhouse

Access robust category indices to benchmark your retail strengths and weaknesses against competition, and enable teams with the complete picture to drive growth across retailers.

Give your story a visual edge

Use easy-to-use cloud based BI dashboards to investigate trends at SKU-level, and bring your management reports to life with expressive visualization.

Expose the relationship between shelf conditions and sales

Use data science to distill the "so what" from research findings and translate into quantified business impact.

Recommend the course of action

Bridge the gap between your customer sales data and granular shelf insights to pinpoint how in-store execution directly influences retail sales.

Identify store clusters that have similar behaviours

Adopt a data-driven approach to store clustering to get a new understanding of store segmentation and behaviours.

Henkel beauty care is a very complex company with 40 different brands and over 800 SKUs, operating in 6 categories. Handling this complexity down to store level is only possible with Trax as they give us comprehensive insights on each of our SKUs.

Alexander Laugomer, Project Manager, Henkel

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