Every cement plant store holds two kinds of mistake. On one shelf sits a part bought years ago for a machine that has since been replaced. On another is the empty space where a bearing should be, on the night the kiln needs it. Both come from the same habit: stocking by past use and gut feel. iFactory's AI Analytics and Enterprise Integration ties each spare to what will really drive its use — a predicted failure, a planned shutdown, the age of the equipment — and feeds the answer back into your ERP. To see it on your own stock list, book a stores review.
AI Spare Parts and Inventory Optimization for Cement Plants
Right-size your stores by linking every spare to predicted failures, obsolescence and shutdown scope — so less cash sits on the shelf and the critical part is there when it counts.
- Demand tied to equipment health, not just history
- Insurance spares protected; excess shown clearly
- Proposals land in your ERP for approval
Hold a part because something says you will need it — a predicted failure, a planned shutdown or a long lead time — not because you always have.
Two Ways to Get Spares Wrong
Too little stock stops the kiln. Too much stock quietly drains cash. Most stores have both problems at once.
They are not opposites. The same store can be short of the one bearing that matters and overflowing with idlers nobody will use for years. Fixing it is a matter of moving money from the wrong shelf to the right one. Our support team can help you see where yours sits.
Too little
- The kiln waits days for a part that costs less than an hour of lost output.
- Air freight and rush orders become routine.
- Parts are taken off standby machines to keep others running.
- Planners pad every order "just in case".
Too much
- Cash sits on shelves instead of working.
- Bearings, rubber and electronics age in storage.
- Equipment is replaced and its spares are stranded.
- Carrying cost runs at 15–25% of stock value, every year.
Most spare parts are used rarely and in ones and twos. Researchers call this intermittent demand, and a well-known study of 3,000 parts showed that ordinary forecasting methods handle it poorly. That is why a simple average of past use gives the wrong answer for most of the store.
Sort Every Part by Two Questions
How much does it hurt if we do not have it? And how often does it move?
Those two questions put every item into one of four boxes, and each box has its own rule. The mistake most clean-ups make is treating the whole store with one rule. To place your own items on this grid, book a working session.
Insurance spares
Rule: hold. Girth gear segments, support rollers, main gearbox parts. Protect them from "slow mover" clean-ups and check their condition in storage.
Wear parts
Rule: forecast from condition. Mill liners, roller segments, refractory. Order to measured wear and the shutdown date, not to a fixed calendar.
Consumables
Rule: automate. Filters, lubricants, fasteners, seals. Reorder automatically, and let suppliers hold the stock where they can.
Excess candidates
Rule: reduce. Stop reordering, use up what is there, and return or sell what will never be needed.
A blanket rule such as "clear anything unused for three years" would scrap the insurance spares. A rule such as "never run out of anything" fills the fourth box. Each box needs its own rule, and the AI applies the right one to each item.
Lead time sets how early you must decide
Typical ranges for orientation. Large castings and forgings can take much longer; confirm with your own suppliers.
Groups with several plants have one more option. A single insurance spare can often be shared between sister plants with the same equipment, instead of each plant holding its own.
Three Signals That Should Drive Demand
Past use tells you what happened. These three tell you what is coming.
Each one already exists somewhere in the plant — in the condition monitoring system, the shutdown plan, the equipment register. iFactory's job is to bring them to the stores screen. Ask our reliability specialists how each signal is weighted.
Predicted failures
What is wearing out?
When a bearing, gearbox or motor goes on watch, the parts for that repair are checked against stock at once. If the lead time is longer than the warning, the order is raised that day.
Shutdown scope
What is planned?
The job list for the next kiln stop becomes a parts list with dates. Parts arrive weeks before the stop, not months, and nothing is found missing on day two.
Obsolescence
What is going away?
When equipment is replaced or a maker ends support, its spares are flagged. Some are bought as a last-time buy; the rest are used up or cleared before they are stranded.
A raw mill gearbox bearing goes on watch in January. One spare is in stock, and it is the last. Lead time is 20 weeks; the shutdown is in March. The stock part is reserved for March, and its replacement is ordered the same day — before anyone has to ask.
Where the 15–25% Comes From
Not from cutting everything by a fifth. It comes from leaving the critical spares alone and working on the four other shelves. Here is a $12 million store, shelf by shelf.
It Works Inside Your ERP, Not Around It
Buyers and planners keep working in the system they know. The advice simply arrives there.
iFactory reads stock, use, orders and lead times from the ERP, and work orders and health alerts from the maintenance side. It sends back proposals — a new minimum, an order, a deferral, a disposal — for a person to approve. To check how it would connect to your systems, book an integration call.
Read
Stock, issues, receipts, open orders and lead times from the ERP; work orders, health alerts and the shutdown plan from maintenance.
Clean
Duplicate items, parts with no equipment link and wrong units are found and listed for correction.
Forecast
Each part gets the method that fits it: steady use, rare use, wear-driven or shutdown-driven.
Propose
Stock levels, orders, deferrals and disposals go back to the ERP as proposals, each with its reason.
Who sees what
- Stores manager. Items to order, hold, reduce or clear this week, with reasons.
- Maintenance planner. Parts readiness for each job and for the next shutdown.
- Buyer. Orders ranked by urgency, with lead time and the date needed.
- Finance. Stock value by shelf, month on month, and what is driving it.
Nothing is ordered or disposed of without approval, unless you choose to automate a class of items.
What Changes in the First Year
The savings come in a set order: clean first, then stop the excess, then tune.
Plants that try to cut stock before fixing the item list usually cut the wrong things. A steady sequence avoids that, and it lets the stores team see results early. Our project team can outline a plan for your site.
See it
Item list cleaned. Every part placed in its box and tier. Excess and obsolete stock listed with values.
Stop the excess
Reordering stopped on excess items. Levels reset on fast movers. Shutdown parts timed to the stop.
Link to health
Predicted failures begin to drive orders for critical parts. Rush orders and stock-outs start to fall.
Bank it
Excess is used up or sold. Obsolete items cleared. Stock value settles at its new, lower level.
Four numbers to watch
Turnkey AI: Delivered, Connected and Live in 6–12 Weeks
You do not build this. It arrives ready.
iFactory ships as a pre-configured NVIDIA AI server, racked and ready, with the software pre-loaded. Rack it, plug in power and Ethernet, and the AI is live on your network.
Our team handles cabling, network setup, PLC and SCADA integration, operator training and 24×7 remote monitoring. The server sits inside your own network, and your stock and purchasing data stay on it. For a scope matched to your plant, request a turnkey quote.
Ship, network and data
Server installed. Read access to the ERP and maintenance system. Three years of stock movements and the item list loaded.
Model training and pilot
Items classified and forecasts built. First proposals checked line by line with your stores and planning teams.
Go-live and training
Proposals flow into the ERP for approval. Training for stores, buyers and planners. 24×7 remote monitoring begins.
Frequently Asked Questions
How does the AI decide how many of a part to hold?
It weighs four things: how badly the plant is hurt without the part, how long it takes to get, how often it is really used, and whether a known event — a predicted failure or a shutdown — is about to use it. Past use is one input, not the whole answer.
Will it cut our insurance spares?
No. Critical, long-lead spares are marked as protected and are left out of any "slow mover" reduction. The aim is to free cash from the shelves where it does no good, so the insurance shelf can be held with confidence.
Is a 15–25% reduction realistic?
It is a range commonly quoted in inventory guidance, and the worked example on this page reaches 22% over two years. Your result depends on where you start. A store that was cleaned up recently will see less; one that has not been reviewed for years may see more.
Does it replace our ERP?
No. The ERP stays the system of record for stock and purchasing. iFactory reads from it, does the analysis and sends proposals back for approval. Your team keeps using the screens they know. The link uses the standard interfaces that most ERP and maintenance systems already provide.
Our item data is messy. Can we still begin?
Yes, and most plants are in the same position. Finding duplicate items, missing equipment links and wrong units is the first step of the work, not something you must finish beforehand. The clean-up often frees stock on its own, because the same part turns out to be held under two or three different codes.
How does it handle parts for the annual shutdown?
The shutdown job list is turned into a dated parts list. Long-lead items are flagged first, deliveries are timed to arrive shortly before the stop, and anything left over afterwards is shown so it is not reordered next year by habit.
How long does it take to go live?
Six to twelve weeks from delivery. We need a place for the server with power and Ethernet, read access to the ERP and maintenance system, and about three years of stock history. A pilot normally covers one plant store. To check your set-up first, contact our team.
Bring Your Stock List and Three Years of Movements
In thirty minutes we sort your store into the four boxes, put a value on each shelf and show where the first savings sit. You keep the breakdown whether or not you go further with iFactory.
- 1Item list with stock on hand and values
- 2Three years of issues and receipts
- 3Open purchase orders and supplier lead times
- 4Equipment list, with parts linked where possible
- 5The job list for your next shutdown
