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We took the standard R-Keeper report package and they tailored it to us on top of that. It all just works.
Solutions
Business analytics for retail stores
In retail the decisions turn on detail: which store, which hour, which product. These reports join till and accounting data so every site sits in one table.
Accounting vs analytics
Accounting
In retail the decisions turn on detail: which store, which hour, which product. The till has the receipts and the accounts have the cost of sales and the stock; only joined together do they show margin rather than just turnover.
Till receiptsCost of salesStock on handDiscounts = a single number?
Business analytics
Ready-built Power BI reports do that automatically: data from Rivilė and the till system refreshes every night, and every site appears in one table on the same measures.
Rivilė / FinvaldaTill system
Joined up overnight Margin by product and by site The figures worth watching
Turnover by site and hour
The hourly view usually pays off fastest: shifts start being planned around real footfall rather than habit.
Average basket and number of transactions
Together they explain any change in turnover — whether you grew on footfall or on basket size.
Product profitability
The best-selling product and the most profitable one are rarely the same. Sorting by margin changes what you decide to stock.
Stock on hand and slow movers
How much money is sitting on the shelves and in the warehouse. The slow-moving list feeds straight into the buying plan.
The effect of discounting
How much margin was given away to make the sale, and whether the promotion brought in new customers or simply discounted the existing ones.
Site-by-site comparison
Stores trading under the same conditions but with different margins almost always point to a management difference, not a market one.
How it looks in the report
How to read the report
01
Turnover by hour
Turnover by hour usually pays off fastest — the peaks in footfall rarely line up with the shift rota, and adjusting the rota costs nothing.
02
Products and discounts
Product profitability is sorted by margin rather than turnover, so the products that sell most and earn least are immediately visible. The discounting block shows how much margin was given away and whether the promotion brought in new customers.
03
Stock and sites
At the bottom: stock on hand with the slow-moving view, and a site-by-site comparison. Stores trading under the same conditions but with different margins almost always point to a management difference, not a market one.
Where the data comes from
- the till system (receipts, products, timestamps)
- the accounting system (cost of sales, stock, suppliers)
- the loyalty scheme, where one is used
Read access The connection is read-only — the reports read your data, change nothing, and never write back to your systems.
What people usually notice first
- 1 The first thing almost every chain sees is that footfall falls quite differently from the way the shift rota was built.
- 2 The second is that one or two product groups that look strong on turnover are dragging the overall margin down, through discounting or a rise in cost of sales.
Related: CockpitSHOPS
Analitika360 client stories
Data that helps you decide
See how companies like yours put Analitika360 reports to work in Power BI.
Where to start
Most people start with a ready-built report set, which connects to your accounting system within a few days, and add the industry-specific reports as a second stage. Describe your situation and we will tell you what would work best in your case.