Retail & franchise
See which stores carry the month, which products make money, where shelves run empty and which promotions pay — from the data you already have.
Connect → Understand → Verify → Steer → Ask → Act
Flip the card: here is the answer
Every question is tied to the report that answers it.
The reports setup proposes
One for each goal you pick, plus Data health. Open the tabs.
Retail Performance 360 — See which stores carry the month
Over time
shape only
- What it answers
- A handful of shops usually explain the whole swing.
- What it reads
- Your sales, each with its date and the store it happened in.
- Example finding
- Three stores account for most of the weekly decline.
Shapes and findings are examples. Each report is built only when your data holds what it reads; one that cannot be built is named at setup, never estimated.
Everything converges into a single model
From Snowflake, Amazon S3, PostgreSQL, MySQL, Odoo, Salesforce or a file from your computer. What is missing gets flagged, not guessed.
- Your sales, each with its date and the store it happened in.
- Your sales with the price paid and what the item cost you.
- Your stock levels per item and store, and the sales that draw them down.
- Your receipts, with the customer or loyalty card when you have it.
- Your discounts and offers, next to the sales they applied to.
None of this is required. Each report reads only its own line; one whose data is missing is named at setup, never guessed.
What Data360 finds in your data
Every issue is translated into a business consequence.
Checks running
6 checks- The same product or customer recorded twice
- A store that sent nothing
- Products with no category
- Sales pointing to a store nobody knows
- Products with no cost, so no margin
- Days with no stock count
Rows that pass each check
Measured on the same data your reports read.
Percent of rows, illustrative. Real scores are measured on your own data.
Business findings, not technical alerts
Each finding names the report it comes from.
Three stores account for most of the weekly decline.
From the report See which stores carry the month
Most of the lost margin comes from a single category.
From the report Know which products actually make money
Four best-sellers will run out before the next delivery.
From the report Catch empty shelves before customers do
Last month’s promotion grew sales but cost more margin than it brought.
From the report Tell a good promotion from an expensive one
One store sent nothing today, so today’s ranking leaves it out.
From the report Data health
Example findings. Real ones come from your own data, in the report that produces them.
A finding with no follow-up is worth nothing
Six things Data360 does once a figure matters.
- AlertSet a line on a figure that matters and see when it is crossed.
- Tell peopleTell you, chosen teammates, or everyone who can open the app.
- Refresh reportsRead the figures again so every report is current.
- Re-check qualityMeasure the tables again and flag what broke.
- Clean and saveRemove duplicates, filter, combine and total, then save the result as a table.
- ExportTake the rows behind a figure away as a spreadsheet file, or save them as a table.
See Retail Performance 360 on your own data.
Your goals, your data — and the reports built from them.