Weekly numbers built before your team sits down.
Weekly reports and MIS that build themselves.
One system signs in to every account, pulls the reports, checks the numbers and sends the pack every Monday. If a check fails, nothing goes out, so bad numbers never reach a meeting.
The problem today
- Reports downloaded by hand from seller and vendor accounts, ad consoles, quick-commerce portals and sheets.
- Pasted into a master workbook, formulas fixed by hand. Half a day gone before anyone reads a number.
- Sales, ad spend and stock never quite agree, so meetings start with an argument about the data.
- If that one person is on leave, the numbers do not come.
What we build
- Sales by brand, channel and product: this week against last week and last year
- Ad spend, revenue from ads and the efficiency ratios, per channel
- Stock on hand, stock on the way and weeks of cover for every product
- Margin per product after fees, tax and ad spend
- A short note in plain words: what moved, what needs a decision
How it works
Data in, checks, then the result.
Data in
- Seller & vendor reports
- Ad accounts
- Other marketplaces
- Your sheets
Checks
- 24+ checks
- Totals vs source
- Row counts vs last week
What you get
- Dashboard
- Monday pack
- E-mail / WhatsApp summary
- 1
Signs in to every account
Seller and vendor, ads, other marketplaces, quick-commerce, your sheets.
- 2
Pulls the reports
Waits for the slow ones, retries the failed ones, fills in missing days.
- 3
Cleans and combines
One meaning of 'this week', one product list, tax handled the same way everywhere.
- 4
Checks itself
24+ checks: sales against ad spend, row counts against last week. One failure and nothing goes out.
- 5
Sends the pack
Dashboard updated and a summary on e-mail or WhatsApp before Monday starts.
See it
The Monday pack, as it lands.
Drawn with dummy data. Every number shows how it was worked out.
Net sales
₹48.6 L
▲ 8.2%Ad spend
₹6.1 L
▼ 3.4%Ad cost of sales
12.6%
▼ 1.9%Units
9,412
▲ 5.7%| Brand | Channel | Sales | WoW | Cover (wks) |
|---|---|---|---|---|
| Brand A | Amazon 3P | ₹21.4 L | ▲ 11.2% | 6.1 |
| Brand A | Amazon 1P | ₹9.8 L | ▼ 4.1% | 3.2 |
| Brand B | Flipkart | ₹7.2 L | ▲ 14.8% | 5.4 |
| Brand B | Quick-commerce | ₹6.3 L | ▲ 22.5% | 1.8 · reorder |
| Brand C | Own store | ₹3.9 L | ▼ 2.2% | 8.9 |
Net sales, last 12 weeks
What needs a decision: Brand B on quick-commerce is growing 22% a week with 1.8 weeks of stock. Reorder before Thursday.
Illustration · dummy data · no client names
What changes
- The team starts the week reading numbers, not building them
- Everyone uses the same numbers
- The report still comes when someone is on leave
Live in 14 days. A working demo every week, a separate QA team, you own the code, and 90 days of support after go-live.
The plan, day by day
- Day 1Kick-off call. Access to your accounts. We map the reports you use today.
- Day 2–5Data pulls built and running against your real accounts.
- Day 6–9Combining, checks and the pack itself. First demo on your data.
- Day 10–12Your corrections. Second demo. Independent QA runs the test list.
- Day 13–14First live Monday run. Handover of code and how-to guide. 90 days of support starts.
Built and running
Where we've done this before.
Real systems in daily use. Names stay private.
Questions
Asked on most first calls.
We only sell on Amazon. Is that enough?
Yes. One channel still means several reports, and vendor plus seller accounts count as two.
Our numbers live in Excel. Do we have to change?
No. The pack can land in a dashboard, a Google Sheet, an Excel file on e-mail, or all three.
What if Amazon changes a report?
The checks catch it, nothing wrong goes out, and fixing it is covered for 90 days.
What do you need from us?
Access to the accounts, one person who can answer questions, and feedback on each demo within three working days.
How do we reach you?
Call or WhatsApp +91 93245 75633, e-mail [email protected], or use the form on this page. We reply within one working day.
Tell us which report eats your Monday.
A free 30-minute teardown: the reports you build by hand today, what we'd automate first, and a fixed price.