Every sector we build reporting for, and the reports each one usually needs. Online Channels has a full guide because it is where we have gone deepest so far.
Brands and sellers trading across marketplaces and quick-commerce platforms at once — where every platform issues its own purchase orders, fills them partially, reports offtake in its own format, and none of it adds up to one number until somebody makes it.
Purchase order report, platform by platform
PO fill rate, tracked by platform, SKU and week
Offtake (sell-out) report — what actually reached shoppers
SKU-level sales read against PO fill rate
Brand-wise sales, every platform combined
Combined offtake across all platforms, one number
Sell-in versus sell-out, reconciled
Stock cover and days of inventory by platform and dark store
Availability and out-of-stock tracking by listing
Returns, RTO, claims and deductions by platform
Ad spend against attributed sales, by platform
Data from
Amazon
Flipkart
Myntra
Meesho
Nykaa
Ajio
+ 4 moreShow fewer
Blinkit
Zepto
Swiggy Instamart
BigBasket
Where the data comes from, not a client list. No partnership or API access with any platform or chain named.
How reporting works here
Key Accounts
Brands supplying the large retail chains, where each account raises its own purchase orders on its own cycle, fills them partially, and reports sell-out in its own format — and the national picture only exists once somebody builds it.
Purchase order report, account by account
PO fill rate, tracked by account, SKU and week
Sell-out (offtake) report per account
SKU-level sales read against PO fill rate
Brand-wise sales, every account combined
Store and region-wise offtake within an account
National, cash & carry and regional accounts read side by side
Stock cover and days of inventory at DC and store level
Claims, deductions and settlement reconciliation
Listing and planogram compliance against what was ordered
Data from
DMart
More Retail
Reliance Retail
Spencer’s
Tesco
CPWI
+ 12 moreShow fewer
Metro C&C
Grace
Kalyan
KPN
Lulu
Max
National Mart
Nesto
Patel Retail
Pothys
Ratnadeep
Saravana
Where the data comes from, not a client list. No partnership or API access with any platform or chain named.
Purchases, sales, routes, customers and receivables across territories — where outstanding payments and salesperson performance are the two things always asked for and rarely on one page.
Daily SKU sales, purchases, suppliers, stock and expenses — generated every day, recorded in registers and bills, with no structured way to read any of it.
Appointments, collections, doctors, tests and operational records — where daily collection and utilisation matter and the data sits inside a practice-management system nobody reports from.
General trade and everything else that sells without a platform in between — kirana, pharmacy, distribution, clinics, manufacturing and the rest. Different data, same question: what sold, where, and what should be reordered.
Straight answers on files, confidentiality, cost and timing.
Do you have client references and testimonials?
No named references or testimonials yet, and we are not going to manufacture any. There is one case study from a real engagement, with the client's identity removed, at makemymis.com/work — the files we received, what was wrong with them, what we fixed and the report it produced. When a client agrees to be named, their work will appear here marked as client work. The most useful evidence is still a small first piece of work on your own sample, scoped and quoted in writing before it starts.
What files do you need from me?
To quote: one representative file or page — the messy one, not the tidy one. To build: the sources behind it, in whatever format they already exist. Excel, CSV, Google Sheets, a system export, a PDF or a scan all work. We will tell you what is needed before any full-file transfer, and we would rather see a small sample first than a full dataset we have not yet agreed to handle.
What affects the price, and why are no prices published?
What moves it: how much data there is, how clean it is, how many separate sources it comes from, and whether the report has to refresh every period. We quote a fixed figure after seeing one sample file, in writing, and it does not change unless the scope does.