Moisture disputes at the gate
Deductions negotiated verbally, applied inconsistently, and argued about again when the supplier comes to settle.
Auto Rice Mill Software in Bangladesh
Paddy goes in and four saleable products come out. CloudMill costs all four — head rice, broken, bran and husk — so your margin is a number you can see per lot, not a guess you make at year end.
The problem
Most auto rice mills are profitable in ways they cannot prove
An auto rice mill in Bangladesh handles paddy at four different moisture levels, from three or four supplier types, across a season where the rate moves weekly. By the time it leaves the mill it has become head rice, broken, bran and husk — each sold to a different buyer at a different rate. Almost every mill we visit can tell us their paddy purchase rate and their rice selling rate. Very few can tell us the cost per kilogram of head rice for a specific lot, because the arithmetic that connects the two lives in five registers and one person’s memory.
That gap is not a bookkeeping inconvenience. It decides whether you buy paddy this week or wait, whether a variety is worth milling at all, and whether the outturn your manager reports is the outturn you are actually getting. A mill running at 63% outturn while believing it runs at 66% is losing roughly three kilograms of rice on every hundred kilograms of paddy — and will keep losing it, invisibly, for as long as the number stays uncalculated.
CloudMill closes that gap by capturing the weight once, at the gate, and carrying it through drying, storage, milling, grading and dispatch as one connected record. Every deduction is applied by your own rate table. Every output is valued. The cost of a bag of rice is available the moment the lot closes, not three weeks after month end.
By-products treated as scrap
Bran and husk sold for real money but recorded as “miscellaneous income”, so head rice carries a cost it should not.
Outturn nobody can verify
A percentage quoted from experience rather than measured per lot, per variety and per season against your own history.
How it works
From the gate to the ledger, in the order your mill actually runs
Each step below is a screen in CloudMill. Nothing is re-keyed between them — the weight captured at the gate is the same weight the accountant sees.
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01
Gate entry and weighbridge
Vehicle, driver and supplier recorded at the gate. Gross, tare and net read directly from the weighbridge indicator, with a photo attached to the gate pass so a disputed weight has evidence behind it.
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02
Grading and moisture deduction
Moisture, impurity and immature grain recorded per lot. Deductions apply automatically from your own rate table, so the same reading gives the same deduction whoever is on duty.
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03
Purchase posting and supplier ledger
The payable is raised on the net accepted quantity. Season advances already paid to that supplier are adjusted automatically instead of being remembered.
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04
Drying and storage
Drying loss is recorded against the lot rather than absorbed into general shrinkage. Godown-wise paddy stock stays live by variety, moisture band and season.
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05
Milling job and outturn capture
A milling job consumes a specific paddy lot and produces head rice, broken, bran and husk in measured quantities. Outturn is calculated, not typed.
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06
Multi-output costing
By-products are valued at their realisable rate and credited against the lot. What remains is the true cost of head rice — the number that tells you whether the lot made money.
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07
Grading, blending and packing
Blend lots to a target grade with full traceability of every component, then pack into your retail and bulk SKUs, each carrying its own cost.
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08
Sale, delivery and collection
Dealer price tiers, credit limits enforced before the invoice prints, delivery order with gate pass, and receivable ageing visible to the sales team.
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09
Accounting and VAT
Every movement above has already posted to a double-entry ledger. Mushak formats, bank reconciliation and financial statements read from the same data.
Worked example
What a 10-tonne paddy lot actually costs you
Illustrative figures — substitute your own rates. The point is the structure, not the numbers: what changes your cost per kilogram of head rice is the by-product credit, and that is the line most mills leave out.
| Line | Figure |
|---|---|
| Paddy received (gross) | 10,000 kg |
| Moisture at intake | 18% (mill standard 14%) |
| Deduction @ 1.2% per point, 4 points over | −480 kg |
| Net accepted paddy | 9,520 kg |
| Paddy rate | ৳32.00 / kg |
| Paddy cost | ৳3,04,640 |
| Milling, labour, power and drying | ৳12,400 |
| Total input cost | ৳3,17,040 |
| Head rice @ 63% outturn | 5,998 kg |
| Broken @ 5% | 476 kg |
| Bran @ 8% | 762 kg |
| Husk @ 21% | 1,999 kg |
| Process loss @ 3% | 286 kg |
| Broken revenue @ ৳38 / kg | −৳18,088 |
| Bran revenue @ ৳30 / kg | −৳22,860 |
| Husk revenue @ ৳6 / kg | −৳11,994 |
| Cost carried by head rice | ৳2,64,098 |
| Cost per kg of head rice | ৳44.03 |
Without the by-product credit the same lot appears to cost ৳52.86 per kg — an overstatement of ৳8.83 on every kilogram. That is the difference between pricing to win an order and pricing yourself out of one.
What you get
Built for the way an auto rice mill runs
Paddy procurement
Supplier-wise purchase with season advances, arat and commission handling, and a payable raised on net accepted weight.
Weighbridge integration
Gross, tare and net captured from the indicator with photo evidence on the gate pass. No manual slip, no re-keying.
Moisture rate tables
Your own deduction schedule applied consistently, with the reading, the rate and the deducted weight all visible to the supplier.
Outturn analysis
Outturn by paddy variety, supplier, season and shift, compared against your own rolling benchmark rather than an industry average.
Multi-output costing
Head rice, broken, bran and husk each valued and credited, so the cost that lands on rice is the cost rice actually caused.
Multi-godown stock
Live balances per store for paddy, rice, by-products and packaging, with controlled transfers and lot-level traceability.
Grading and blending
Blend lots to a target grade while keeping full traceability of every component lot that went into the blend.
Sales and credit control
Dealer price tiers by region and volume, hard credit limits checked at invoice time, and ageing your sales team can see.
Bank and finance reports
Monthly stock statements for CC and hypothecation limits generated from live stock rather than rebuilt by hand.
Reports
The reports an auto rice mill owner actually opens
Every one of these reads from the same ledger, exports to Excel and PDF, and can be scheduled to your inbox.
| Report | The question it answers |
|---|---|
| Outturn by lot and variety | Which paddy variety and which supplier are actually giving me the rice I paid for? |
| Cost per kg of head rice | After by-product credit, what did this lot cost me — and can I sell at today’s rate? |
| Daily production summary | What did each shift mill, and where did the plan and the actual diverge? |
| Paddy purchase register | Supplier-wise quantity, moisture, deduction and rate for the whole season. |
| Godown stock and ageing | What paddy is sitting where, at what moisture, and how long has it been there? |
| By-product realisation | Am I getting a market rate for bran and husk, or leaving money with the buyer? |
| Dealer receivable ageing | Who is past their limit, and who should not get the next delivery? |
| Bank stock statement | The monthly stock and book-debt statement my lender asks for, in their format. |
| Mushak 6.3 register | Every VAT invoice issued this period, ready to reconcile with the return. |
| Profitability by lot | Which lots made money, which did not, and what was different about them. |
Compliance in Bangladesh
What Bangladeshi rice mills have to file — and where the data comes from
Mushak 6.3 sales invoice
VAT invoices issued in the NBR format directly from your sales entry, with the register available for reconciliation at return time. Always confirm current formats with your VAT consultant or the NBR.
Input-output coefficient
Your measured outturn and by-product ratios give you an evidenced basis for the Mushak 4.3 declaration, instead of a figure estimated once and never revisited.
Source tax on purchases
Deductions on paddy and other purchases tracked against supplier ledgers so certificates and returns match what you actually paid.
Government procurement
Contract quantity, delivery challans and inspection records held against the contract, so a food department reconciliation is a lookup rather than a search.
Bank stock reporting
Monthly stock and receivable statements for CC or hypothecation limits produced from live balances, in the format your lender wants.
Labour and payroll
Daily-wage, contract and monthly staff on one payroll with overtime, provident fund and gratuity handled per your own policy.
FAQs
Questions we get asked about this
Outturn is derived, never typed. A milling job consumes a specific paddy lot at its net accepted weight and records the measured output of head rice, broken, bran and husk. Outturn is the head rice output as a percentage of paddy consumed, and CloudMill reports it per lot, per variety, per shift and per season against your own rolling benchmark.
Yes. You define the rate table — the standard moisture level, the deduction per percentage point above it, and any different treatment for different varieties or supplier types. The system applies it consistently, and the reading, the rate applied and the deducted weight are all shown on the gate pass so the supplier can see the basis.
Yes. Paddy you own is costed through to head rice as shown above. Paddy milled on behalf of a customer is tracked as third-party stock with a milling charge raised against it, so your own stock and your customer stock never mix in the godown balance.
Contract quantity, rate, delivery challans and inspection records are held against the contract, with progressive delivery tracked against the committed quantity. Reconciling with the food department becomes a report rather than a file search.
Yes. Each mill keeps its own statutory books and stock, and the group consolidates for reporting. Owners typically use the mobile dashboard to compare outturn and cost per kilogram across sites, which is where most groups first find that one plant is quietly underperforming.
Most single-site mills go live in five to ten working days. We usually start with procurement and godown so the gate stops being the weak point, then bring milling, sales and accounting on within the same fortnight. Implementation does not require stopping production.
Gate, weighbridge and godown terminals run offline-first and queue transactions locally. When the connection returns they sync automatically, and any conflict is flagged for a supervisor rather than silently overwritten.
Yes. Your complete dataset exports to Excel or CSV at any time. It is your data and we do not hold it hostage.
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See your own paddy lot costed in CloudMill
Bring one real lot — the gate weight, the moisture reading, the outturn and the by-product rates. We will show you the cost per kilogram in the trial account before you commit to anything.