Inventory and credit software for distributors
Distributors rarely fail on stock. They fail on credit, and on finding out about it three months after the retailer stopped being able to pay.
Why the generic answer fails here
Distribution runs on credit extended to a fragmented retail network, tracked in a spreadsheet updated when someone has time. Exposure to any individual retailer is known approximately, ageing is retrospective, and the first clear signal of trouble is a missed payment already preceded by months of quietly extending terms that nobody flagged.
Ask a distributor what their biggest risk is and most will say stock. Look at where money is actually lost and it is credit: receivables that aged past recovery, retailers who took delivery while already beyond their limit, and exposure that nobody aggregated until it mattered.
The second issue is stock accuracy, which fails for reasons that are individually trivial and collectively decisive: returns never entered, damaged goods written off informally, short deliveries noted on the challan but not in the system, schemes and free goods handled outside the process.
A system that addresses both is not technically complex. It is exacting about capture, because every gap between what happened and what was recorded is where the divergence starts.
Credit exposure in real time, with a limit that means something
The single most valuable feature in a distribution system is a credit limit that cannot be silently exceeded.
That requires exposure per retailer computed in real time across all outstanding invoices, not at month end. It requires ageing that updates automatically rather than when someone rebuilds the spreadsheet. It requires a deteriorating payment pattern to be flagged before it becomes a default, because a retailer moving from thirty to forty-five to sixty days is telling you something well before they miss.
And it requires despatch above the limit to need an explicit authorised override with a reason, logged. Businesses resist this, because in practice overrides happen constantly for good commercial reasons. That is precisely why the log matters: the override report becomes one of the most useful management documents in the system, because it shows who is extending credit and to whom.
A limit that can be quietly exceeded is not a limit, and most distribution software implements it as a warning message that everyone clicks through.
In practice
Every engagement starts with a conversation, not a proposal template.
Thirty minutes with a senior engineer. You leave with an architecture sketch and an honest cost range, whether or not you hire us.
Why stock diverges, and what actually fixes it
Stock accuracy fails through accumulation rather than through any single failure, and the causes are consistent across every distributor we have worked with.
Returns accepted at the counter and never entered. Damaged goods set aside and written off verbally. Short deliveries noted on the challan but not reconciled. Scheme goods and free issues handled outside the normal process because the system had no way to represent them. Samples taken. Each is small; the accumulated divergence over a quarter is what makes the number untrustworthy.
The fix is capture at the point the event happens, by the person it happens to, on an interface that takes less time than not doing it. That last constraint decides everything. A screen requiring ninety seconds where the current process takes twenty will be bypassed, and the bypass will be blamed on staff discipline rather than on the design.
It also means the system must be able to represent the awkward cases. Schemes, free goods, partial returns and damaged stock all need a first-class path, because if the only way to record them is a workaround, the workaround becomes the divergence.
Every engagement starts with a conversation, not a proposal template.
Thirty minutes with a senior engineer. You leave with an architecture sketch and an honest cost range, whether or not you hire us.
Included in a inventory software for distributors engagement
What it costs
Ranges rather than a figure, because the variables below move it more than page count does. We publish these rather than pricing off what a buyer appears able to afford.
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Enquiries now arrive with specifications already attached
Our previous website had a stock photograph and a paragraph about commitment to quality. It brought us nothing in four years. Sayak spent two days on our shop floor before drawing anything, and what they built lists our machine capacities, tolerance ranges and certifications in a way a purchasing officer can actually evaluate. The change was not in the number of enquiries so much as in their quality — people now call having already decided we can do the job, so the conversation starts at commercial terms.
They talked us out of half of what we asked for
We went in with a long list of features we were certain we needed. They built roughly half of it and explained clearly why the rest would be maintained forever and used by nobody. Six months on they were right about every item. The store is fast on phones, which matters because that is where almost all of our traffic comes from, and our team updates the catalogue ourselves without calling anyone.
Parallel running for a full month meant nobody had to trust it blind
Replacing a system a clinic depends on is frightening, and most vendors we spoke to proposed a weekend cutover. Sayak ran the new system alongside our registers for a full month and only switched once the numbers matched every day. Our front desk staff were part of the design rather than being trained at the end, which is why they actually use it. Report preparation that took a person most of a morning now takes minutes.
Common questions
If yours is not here, ask it on the call. We would rather answer a hard question early than discover a mismatch in week six.
Because stock errors are visible and recoverable while credit failures are invisible until they are not. Exposure to individual retailers is known approximately, ageing is retrospective, and the first clear signal is a missed payment preceded by months of quietly extending terms nobody flagged. Real-time exposure against an enforced limit changes that entirely.
They should require an explicit authorised override with a reason, logged, rather than being either a hard block or a warning everyone clicks through. Overrides happen constantly for good commercial reasons, which is exactly why the log matters: the override report shows who is extending credit and to whom, and it becomes one of the most useful management documents in the system.
Accumulation of small gaps: returns never entered, damage written off verbally, short deliveries noted on the challan but not reconciled, schemes and free goods handled outside the process, samples taken. The fix is capture at the point the event happens on an interface faster than not doing it, plus a first-class path for the awkward cases so workarounds stop being necessary.
It has to, outside the main towns. The application holds local state, records orders and collections as they happen, and synchronises when a connection appears, with explicit conflict handling rather than last-write-wins. Designing this in from the start produces something that works; retrofitting it usually produces something that works badly in both modes.
A single-location distributor with credit control and stock accuracy runs ₹1,50,000 to ₹5,00,000. Multi-depot with transit visibility and field sales is ₹5,00,000 to ₹15,00,000. Regional groups with multiple entities and consolidated reporting start around ₹15,00,000.
The underlying services
Tell us what is slowing your business down.
A 30-minute call with a senior engineer — not a salesperson. You leave with an architecture sketch and an honest cost range, whether or not you hire us.
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