Case study · Retail · 4 min read
RetailQ — know what sells
A shop's sales data, turned into plain answers. Which items move, which days are busy, what to restock — and it never leaves the shop.
Edhu nalla virkudhu? Oru look-la theriyum.
Every shop already has the answers it needs. They’re sitting in the billing data — thousands of lines of item, quantity, price and date. The problem is nobody has time to read them.
The problem
A shop owner wants simple answers: what sold most this month, which category is growing, which branch or area brings in the most. Usually that means spreadsheets, or sharing sensitive sales data with an outside service.
What RetailQ does
RetailQ takes a shop’s sales records and organises them so the important numbers are always ready:
- Top products and what’s slowing down
- Sales trends across days and months
- Category mix — what share each type of product brings in
- Area-wise revenue when there’s more than one location
It also lets you ask questions in plain words, like “What were my best-selling items last month?”, and get the answer back as numbers.
Your sales data stays on your machine. Nothing goes to the cloud.
Why offline matters
RetailQ is built to run entirely on the shop’s own computer. The question-answering uses a model running locally, so sales figures are never sent to an outside service. For many owners, that privacy is the deciding factor.
How it’s built (briefly)
Sales files are cleaned and loaded into a structured database designed for fast reporting. Common reports are pre-built so they open instantly; free-form questions are queued and answered in the background, and only read-only queries are ever allowed to run.