Inventory Automation
Get the stock record right first. Everything else depends on it.
What is inventory automation?
Inventory automation records stock movement at the point it happens, matches deliveries against purchase orders, runs counting cycles and enforces reorder points, so the recorded stock figure matches what is physically on the shelf.
Every stock problem sits downstream of one question: does the system figure match the shelf. When it does not, ordering is guesswork, valuations are wrong and nobody trusts a stock report.
The gap opens through ordinary events. Goods arrive and are put away before anyone records them, a damaged item is written off in a notebook, a branch transfer is entered once instead of twice.
This work is entirely mechanical, and it must come before any forecasting. A prediction built on inaccurate stock records is worse than no prediction, because it carries an air of precision.
Why forecasting has to wait
Duara automates stock recording from Nairobi for retailers, distributors, manufacturers and warehouses where the system figure and the physical count regularly disagree.
We will not build demand forecasting on top of records that are not accurate yet. Clients frequently ask for the forecasting first because it is the interesting part, and we say no, since a confident forecast from bad data produces worse decisions than an honest guess.
Who this is for
- System stock and physical count disagree
- Stock takes require closing the business
- Deliveries are recorded late or not at all
- Write offs happen without a record
Industries we serve
- Retail and supermarkets
- Pharmaceutical distribution
- Hardware and building supplies
- Food and beverage
- Manufacturing
- Spare parts distribution
Problems this solves
These are recording failures, and each one widens the gap between the system and the shelf.
- Records lag behind movement. Goods are received and put away before anybody enters them, so the system is wrong for hours or days.
- Full stock takes shut the business. Counting everything requires closing, so it happens rarely and the record drifts between counts.
- Deliveries not matched to orders. Short or incorrect deliveries are discovered at invoice stage, when the supplier position is weaker.
- Adjustments made informally. Damages and write offs are noted on paper, so the system figure and the reason for the difference are both lost.
What we deliver
Movement recorded at the point it happens, deliveries matched against purchase orders on receipt, rolling cycle counts instead of full closures, and adjustments captured with a reason.
Stock movement recorded as it happens
Deliveries matched against purchase orders on arrival
Rolling cycle counts without closing the business
Adjustments captured with a reason code
Reorder points enforced consistently
Reporting on where accuracy is actually breaking down
Features
- Accuracy before forecasting. We fix the record first and decline to build prediction on top of numbers that do not match the shelf.
- Cycle counting, not annual closure. Counting a rotating subset keeps accuracy high without shutting the business to do it.
- Matching at receipt. Deliveries are checked against the order on arrival, which is when a short delivery is still the supplier problem.
- Reasons recorded with adjustments. A write off carries why, because the pattern of adjustments is usually more useful than the quantity.
- Accuracy reported by location. Where the record breaks down is identified, and it is normally one site, one process or one product group.
Benefits
- The stock figure becomes trustworthy. Ordering, valuation and reporting all depend on this single thing being true.
- Stock takes stop closing the business. Rolling counts remove both the shutdown and the drift between annual counts.
- Supplier shortfalls get caught. Matching at receipt recovers money that is lost once the goods are already in the building.
- Shrinkage becomes visible. Reason coded adjustments turn an unexplained gap into a pattern you can act on.
Technologies we use
- Point of movement capture. Recording receipt, transfer, sale and adjustment as they happen, through scanners or mobile devices.
- Purchase order matching. Checking delivered quantity and item against the order at the point of receipt.
- Cycle count scheduling. Rotating counts by value and movement rate so high value lines are checked more often.
- Adjustment coding. Capturing the reason alongside every stock correction.
- Reorder enforcement. Applying agreed reorder points consistently rather than relying on somebody noticing.
Barcode or scanner capture at the point of movement does more for accuracy than any software feature, because it removes the delay between the physical event and the record.
How the process works, step by step
Inventory automation usually takes six to nine weeks, and it starts with measuring how far the record is currently from reality.
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Step 1
Free stock accuracy check
We count a sample against the system to establish the real gap, which is often larger than expected.
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Step 2
Capture at movement
Recording moves to the point the physical event happens, which is the single biggest accuracy gain.
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Step 3
Receipt matching
Deliveries begin being checked against orders on arrival rather than at invoice stage.
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Step 4
Cycle counts started
Rolling counts replace the annual closure, weighted towards high value and fast moving lines.
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Step 5
Accuracy reported
We measure the gap again against the opening sample and report where it remains.
Quality assurance and how we work
The commitments attached to automating stock records.
- We fix accuracy before building forecasting. A confident forecast from bad stock data produces worse decisions than an honest guess, so we decline to do it in the other order.
- We measure the gap before and after. A sample count establishes the real starting accuracy, because without it any later claim of improvement is unverifiable.
- Adjustments always carry a reason. A correction without a reason hides the pattern, and the pattern is usually the valuable part.
- We report where accuracy is still failing. If one site or process remains inaccurate after the work, we say so rather than reporting the average.
- We do not automate around theft. Where the gap indicates loss rather than recording error, we tell you plainly instead of tuning the numbers to agree.
Frequently asked questions about inventory automation
Can you build us stock forecasting?
Not until the records are accurate. A confident forecast from bad data produces worse decisions than an honest guess, so accuracy comes first.
Why refuse the forecasting first?
Because it is the interesting part and the useless part when the underlying figure is wrong. We would rather say that than take the work.
How accurate are our records now?
We establish it with a sample count during the review, and the gap is usually larger than clients expect.
Do we need barcode scanners?
They help more than any software feature, because they remove the delay between the physical event and the record. We assess what your operation justifies.
Can we stop doing full stock takes?
Largely, through rolling cycle counts weighted towards high value and fast moving lines, which also removes the shutdown.
What is cycle counting?
Counting a rotating subset regularly rather than closing to count everything, which keeps accuracy high continuously.
Does it match deliveries to orders?
Yes, at receipt, which is when a short delivery is still the supplier problem rather than yours.
Why record a reason for adjustments?
Because the pattern of write offs is usually more useful than the quantity, and a correction without a reason hides it.
What if the gap is theft?
We tell you plainly rather than tuning the numbers to agree. Recording error and loss are different problems with different answers.
How long before the records are reliable?
Six to nine weeks, beginning with measuring how far your record currently sits from reality.
Does it work with our stock system?
Yes, with common ERP and stock platforms, feeding your existing system rather than replacing it.
Can it handle several warehouses?
Yes, and multi site operations usually find accuracy differs sharply between locations once it is measured.
What about stock in transit?
Transfers are recorded at both ends, which is a common source of error when only one side is entered.
Can it handle batch or expiry tracking?
Yes, and this matters most in pharmaceutical and food operations where expiry drives write offs.
Will it enforce reorder points?
Yes, consistently, rather than depending on somebody noticing a gap on a shelf.
Do staff need training?
Some, though scanning at the point of movement is deliberately simpler than the paperwork it replaces.
How do we know accuracy improved?
We count the same sample again and compare against the opening figure, and report where it has not improved.
Does it cover manufacturing work in progress?
Yes, where you track it, though the recording points need defining carefully with your production team.
Is our stock and supplier data confidential?
Yes. It stays in your systems, is not copied to us, and no public AI model is trained on it.
What does inventory automation cost?
Location count, line count and hardware needs determine it, quoted after the accuracy check.
Glossary of terms
Stock control terms in plain language.
- Cycle count
- Counting a rotating subset of stock regularly instead of closing to count everything at once.
- Goods received note
- The record of what physically arrived, checked against the purchase order.
- Shrinkage
- Stock that has disappeared without a recorded sale, through loss, damage or theft.
- Stock accuracy
- How closely the system figure matches the physical count, expressed as a percentage.
- Adjustment
- A correction to the recorded stock figure, which should always carry a reason.
- Reorder point
- The stock level at which replenishment should be triggered.
Related services in Automation
Talk to us about inventory automation
Count twenty of your fastest moving lines against the system today. The percentage that match is the number this work moves.
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