For retail & merchandising teams
Your POS knows exactly which department is dragging — your dashboard shows it as a bar chart nobody stands in front of.
A store is a physical space, but the reports that run it are flat: a bar chart of "sales by department", a table of footfall by hour, a KPI for average basket. None of them let a store manager glance at the actual layout and see which end of the shop is underperforming. A synoptic panel closes that gap — it binds each department of your store floor plan (produce, grocery aisles, apparel, electronics, promo end-caps, checkout lanes) to a measure and colors it, so "the electronics wall is cold" or "the produce entrance is carrying the store" is obvious at a glance instead of buried in rows.
Native Power BI has no floor-plan visual. The usual workarounds are a static image of the plan with manually-placed cards on top (which breaks the moment you reset the store), Shape Map (built for choropleth geography, not a shop layout), or an AppSource synoptic visual you rent per user. VizForge generates a synoptic .pbiviz from your own floor plan: upload the layout, the AI names each department, you bind your sales and footfall measures, and you own the resulting file — no per-seat fee, no waiting on a vendor's release schedule.
The demo below is the real idea in miniature: a store plan whose departments light up by a sample sales-per-m² measure. In production you'd bind the same regions to live data from your POS and traffic-counter feeds.
Revenue divided by floor area per department, so space-productivity leaders and laggards show up on the plan.
Traffic-counter counts and time spent per zone — see which departments pull people in and hold them.
Share of visitors who buy in each area, and what they add alongside, shaded department by department.
Percent of facings in stock per department, so empty-shelf hotspots surface before sales slip.
Generate the synoptic .pbiviz from your store floor plan and import it into Power BI Desktop.
Drop the department/area field (one row per department, matching the named areas) into the Category well.
Add your measure — e.g. Sales per m² from your POS model — into the Values well.
Set a conditional-format color rule (red underperforming → green strong) and the plan colors itself.
Try this prompt
A retail store floor plan with produce, a deli & bakery counter, and electronics along the back wall, grocery aisles, apparel, and promo end-caps through the middle, and checkout lanes beside the entrance across the front — each department bindable to a sales-per-m² measure.
Not with a native visual — Power BI has no floor-plan chart. You use a synoptic panel: a custom visual that maps regions of your layout image to data. VizForge generates one from your own floor plan so each department binds to a POS measure and colors by it, and you own the .pbiviz outright.
A background image with cards is static and fragile — move a fixture and every card is wrong, and nothing is data-bound, it's just placed. A synoptic panel binds each named department to a field, so the coloring updates with your data and cross-filters like any other Power BI visual.
No. You upload the floor plan and the AI segments and names the departments; you refine the names and bind your measures. That is the whole point versus the older draw-every-polygon workflow.
Whatever your retail model exposes per department: sales per m², footfall, conversion rate, basket size, out-of-stock rate, margin. One row per area with a matching key, plus the measure, and the plan colors itself.
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Upload your real layout, let the AI name the departments, bind your measures, and download a .pbiviz you own forever.