Shows where orders stall between quote and payment for mid-size factories
TL;DR Stallmap reads a mid-size manufacturer's accounting records and shows how long each order spends between quote, order, dispatch, invoice and payment, and where it waits the longest. It also flags customers likely to pay late. Owners and finance heads pay a monthly fee, because slow cash squeezes these firms far more than thin margins do.
Late payment is a chronic headache for small Indian manufacturers. On the government's MSME Samadhaan portal, micro and small firms have filed 2,56,892 delayed-payment applications, with ₹31,722.11 crore payable across all cases[1]. And those are only the disputes formal enough to get filed.
Inside the firm, nobody sees the whole chain. Sales knows the quote, stores knows the dispatch, accounts knows the invoice and the owner chases payment by phone. When cash is short, is the delay in production, in invoicing after dispatch or with a few slow payers? There's no quick way to tell. Most of these firms run on one popular desktop accounting package, which says 2.7 million or more businesses use it[2], and rarely on the big ERPs that process mining tools expect.
Stallmap connects to the firm's accounting software and pulls the dated vouchers that already exist - sales orders, delivery notes, sales invoices and receipts. It links them into one timeline per order and shows the median and worst days at each step, by product, customer and salesperson. A simple model ranks open invoices by how likely they are to be paid late, based on each customer's history. The owner gets a weekly one-page note with the three biggest stall points and the customers to call first.
I reframed the seed. Real-time process mining needs detailed event logs with timestamps for every step[3], which large ERPs produce and most small-firm accounting setups simply don't. Stallmap works off daily voucher dates instead and says so plainly. Firms that want more detail can add a dispatch scan step later.
The owner or finance head pays the bill, often on their chartered accountant's advice. Price per company, say ₹4,000–10,000 a month (my assumption, no public benchmark found). CA firms that serve lots of manufacturers are a second channel, and they could resell it as part of their monthly service to clients.
Models that predict payment behaviour from a customer's history are now cheap to build and run, so a small vendor can offer what once needed a whole data team. The size of the delayed-payment backlog on MSME Samadhaan[1] keeps working capital on every owner's mind.
There's no public figure for process mining among Indian small and mid-size firms. The narrowest signal is the ₹31,722.11 crore payable in filed delayed-payment cases[1]. The broad base is the leading accounting package's 2.7 million-plus businesses[2], and only the mid-size manufacturers among them with steady order volume are buyers.
The global process-mining leaders are built for large ERPs[3]. Process-intelligence vendors sell to big multinationals[4]. Both go after large enterprises. Accounting add-on vendors offer receivables reports but, as far as I could find, no order-to-cash timeline. The gap is mid-size firms that run on desktop accounting software and can't afford an enterprise project.
| Difficulty | Moderate (45/100) |
| Starting capital | ₹80 L–1.5 Cr |
| Time to launch | 9–12 months |
The hardest part is messy data. Firms skip sales orders, back-date vouchers or keep dispatch in a separate register, so linking an order's steps needs rules per customer. Selling to owners who already feel they know their business inside out takes time too.
No sector licence is needed. This is analytics software, so you only need the baseline plus a careful line on legal advice.
Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.
Don't let AI make credit decisions alone. A late-payment score is a prompt to call, not a reason to cut off a customer.
Want to work out the AI layer for Stallmap? Talk to Yash →
I think it's worth trying for a founder who understands accounting-software deployments and factory finance. If you're expecting enterprise process-mining prices then you'll be disappointed. First prove that eight of ten pilot firms have enough dated vouchers to build timelines, and that owners act on the weekly note.
Plan for roughly ₹80 L–1.5 Cr, most of it on accounting-software integration, data-cleaning rules and a long sales cycle with owners.
No sector licence. You need company registration, GST once over the threshold and DPDP compliance for customer contact data in the accounting records.
Yes, late payment hurts small manufacturers everywhere. You'd connect to whatever accounting software is common locally, so check that first.
The free Stallmap validation kit has the line-by-line capital breakdown, the effort scoring, the data-protection checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for owners and finance heads, and 5 assumptions to test. Download the kit →
Thinking about building Stallmap or something close to it? The make-or-break work is turning patchy accounting data into timelines owners trust, and that's something I can help you test early. If you need a hand, you know where to find me. Talk to Yash →
For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.