96%

Reduced time to insight

53%

Increase in Sales

87%

Increase in informed decision-making

27%

Error Reduction

This retail store performance dashboard gives store managers and regional leaders one view of sales, gross margin, traffic, and conversion for every location. They use it to decide where to adjust staffing, promotions, and stock each week. Infocepts built it on MicroStrategy and automated the reporting behind it.

What problem did this dashboard by Infocepts solve for the retail chain?

The retail chain needed a daily view of sales, operations, and errors across many stores. Compiling that view by hand took time and invited mistakes. Infocepts consolidated store data into one dashboard and moved the work to enterprise reporting that runs on its own. Managers now get a current picture without waiting on analysts.

What does the retail store performance dashboard track?

It tracks sales against plan and last year, gross margin, sales per hour, traffic, conversion, and units per transaction. It also shows worked hours and ranks stores on a leaderboard. Users switch between daily, week to date, month to date, year to date, and last 90 day views. A Report Issue option sits in the left menu.

Who uses retail store performance dashboards in Retail & CPG companies and how?

Store managers use them daily to check sales per hour against worked hours and adjust staffing. District and regional leaders use the leaderboard to compare stores and find the ones falling behind plan. Merchandising teams watch gross margin and units per transaction to judge whether promotions are working.

What business impact did the retail chain see after rollout?

After rollout, the retail chain reported 96% less time to insight, 53% higher sales, and 27% fewer errors. Automated reporting also cut the manual work of building store reports. Leaders could then spend that time acting on results instead of assembling them.

Key metrics: sales, gross margin, sales per hour, traffic, conversion, units per transaction, worked hours, and plan attainment.

Explore more examples in the Retail & CPG section, see the store performance analytics dashboard, or read our case studies.

Want a store performance dashboard for your chain? Talk to our team about what to track and how to build it.

Frequently asked questions

Start with sales against plan and last year, then add gross margin, traffic, conversion, and units per transaction. Together they show whether a store attracts shoppers, turns them into buyers, and earns a profit. Compare each store with its peers, not only with a company average, so weak locations stand out.

Sales per hour divides sales by hours worked. It shows how well a store turns labor into revenue. A drop often points to overstaffing or slow traffic. A rise suggests staffing matches demand. Managers compare it by store and shift to tune schedules.

Match the refresh to the decision. Store managers who adjust staffing during the week need daily data. District reviews often work with weekly data. Hourly refresh costs more and only helps if someone can act within the hour. Start daily, then tighten the cadence where a faster answer changes what people do.

A point of sale report lists transactions. A store performance dashboard compares stores against plan, last year, and each other. It brings in margin, traffic, conversion, and labor data alongside sales. That lets leaders see why a store is ahead or behind, not only what it sold.

Start with the decisions managers make each week, then pick the few metrics that inform them. Connect store data, design the views around how people read them, and automate the refresh. Infocepts handles this work through data product design, so the dashboard fits how store teams actually work.

The dashboard reports results: sales, margin, traffic, and conversion by store. OptiStoreAI works on the shelf. It uses computer vision and AI on existing cameras to check availability, planograms, and price accuracy. Use the dashboard to find the store that lags, then OptiStoreAI to find the in store cause.