Over-stocking out of fear of stockouts
Large quantities of slow-moving items are stocked because the fear of running out outweighs a clear view of the actual risk.
03 — Thousands of SKUs, intermittent demand, and one critical part that can stop a whole production line
"I have millions in stock, but the critical part I need today isn't there."
Have the critical part when you need it — without over-stocking everything.
Industrial spares and MRO don't behave like fast-moving goods. The catalog spans thousands, sometimes tens of thousands, of codes; some move daily, while others may not be ordered for months yet prevent a costly shutdown of a critical asset.
Keeper Sector RadarSector signals
Items with no movement8,420need classification
Emergency purchases37this month
Cash tied in dead stockSAR 1.2 millionillustrative example
Items with no movement
8,420
Emergency purchases
37
Cash tied in dead stock
SAR 1.2 million
Priority isn't just the highest value.
Keeper ranks signals by part criticality and the impact of its absence on the asset or equipment, not by how often it's ordered.
01 — Where profitability leaks
The problems purchasing, inventory, and maintenance teams know all too well.
Suppliers to factories, oil and gas, mining, heavy equipment and maintenance, and distributors of MRO, mechanical and electrical spares, and operating and safety tools all face the same challenge: intermittent demand and a massive catalog that traditional rules can't handle.
Ignoring critical low-movement items
A low-movement item is treated as unimportant even though it's a critical part for an essential piece of equipment.
Duplicate purchases of the same part
Differences in codes, descriptions, or manufacturer lead to duplicate purchases without the team realizing it.
Overlooking replacements and stock elsewhere
Available replacements and stock at other sites go unused before a new purchase order is issued.
Late detection of demand shifts
Equipment replacement or contract expiry changes demand, but this isn't discovered until it's too late.
Measuring availability in aggregate
An overall availability figure doesn't reflect the risk of specific critical items running out within that total.
Beyond your current system
What does Keeper add on top of your existing systems?
ERP and WMS systems record transactions accurately, but they typically show each domain within its own boundaries: inventory in one report, purchasing in another. Keeper doesn't replace or duplicate these systems; it links demand to in-transit inventory, supplier performance to affected items, surplus at one site to shortages at another, and ranks decisions by their impact.
| The question | Your current system | With Keeper |
|---|---|---|
| Intermittent demand | An average that doesn't fit its nature | A model built for intermittent demand, per item |
| A dead-stock item | Classified by value alone (ABC) | Classified by both criticality and behavior, not value alone |
| The equivalent replacement | Relies on staff experience | Suggested from an approved replacement catalog and available sites |
| Part criticality | Not systematically documented | Built from part value, order frequency, lead time, and the impact of its absence |
| Demand coverage | An aggregate figure | A coverage ratio for each criticality tier |
Keeper starts with a read-only connection by default. Draft creation, transactions, or messages can be enabled through defined integrations, permissions, and approval workflows agreed with the company. Keeper takes no action outside authorized, logged boundaries.
Your team in this sector
Four agents covering the sector's biggest risks — by name and role.
From Keeper's team, these agents carry the heaviest load in this sector. Meet the full team →
02
Demand Forecasting Agent
Built for intermittent demand: shows a risk range and confidence level instead of a single misleading number, tailored to irregular items.
01
Inventory Movement Agent
Distinguishes stock with no clear use from safety stock needed for critical equipment, so reducing inventory doesn't raise downtime risk.
03
Supplier Management Agent
Documents actual lead times for every supplier, flagging who promises two weeks but delivers in two months.
05
Shipment Management Agent
Tracks import and clearance shipments, alerting you before a port delay turns into a critical stockout.
02 — Data Keeper links
What data does Keeper need to see?
The connection starts read-only. Nothing is copied to a replacement system; data is read from agreed sources and unified in an analytical layer, starting with core sources and expanding over time.
SKU classification (ABC/XYZ)
Value combined with order frequency and regularity, not value alone.
Criticality tier
The impact of a part's absence on the asset, equipment, or operation.
Maintenance schedules
Failures and preventive maintenance plans, where available.
Equipment BoMs
Assets and equipment linked to each item.
Lead times
Actual supply times by supplier and origin.
Obsolescence indicators
Equipment lifecycle status, replacements, and compatibility.
03 — How it works
From sector signals to an understandable decision.
Priority differs between a fast-moving item and a critical intermittent one. Every recommendation shows its data, its reasoning, and its next step.
Classifies parts by criticality and behavior
Combines value, order frequency, lead time, replacement availability, and the impact of absence.
Forecasts intermittent demand
Uses patterns suited to irregular items, showing a risk range instead of a single number.
Detects real dead stock
Distinguishes genuinely dead stock from safety stock needed for critical equipment.
Unifies replacements and compatibility
Links codes and available sites so the team uses what's on hand before buying a new part.
04 — A look inside the product
The output your team actually sees.
Say an inventory report shows a quantity that looks sufficient. Keeper links it to upcoming demand, reservations, and supplier performance to reveal when it will fall short, and where the impact of the shortage will appear.
Illustrative operational example
Item analysis — critical hydraulic pump
Demand patternIntermittent
Last movement73 days
Part criticalityHigh
Compatible replacementSKU 8841
Why?
Low movement doesn't mean the item is dead stock; this part prevents a costly shutdown. Recommendation: transfer one unit from another site and review the lead time before issuing the next order.
Low movement doesn't mean the item is dead stock; this part prevents a costly shutdown. Recommendation: transfer one unit from another site and review the lead time before issuing the next order.
Every recommendation is linked to its data source, last update time, assumptions, and confidence range.
05 — Recurring actions
Situations that repeat in your sector, each with a ready-made action.
A critical part running out, dead stock hiding real risk, or an item needing an approved replacement — each situation comes with a ready-made action.
Multi-criteria classification instead of ABC based on value alone.
Estimating the probability and size of demand instead of a single misleading average.
Linking old codes to approved replacements and planning liquidation of old stock.
06 — The right KPIs
The metrics that should improve.
Metrics are chosen based on the organization's goals and data availability; one company may prioritize protecting service levels, while another focuses on reducing working capital, waste, or stabilizing production.
Critical parts availability01
Downtime linked to part shortages02
Dead stock value03
Share of non-moving items04
Emergency purchases05
Replacement usage and inventory turnover06
07 — Clear boundaries
What we state precisely, and what we don't claim.
Showing our boundaries builds trust: Keeper depends on the quality of its sources and preserves human approval for sensitive decisions.
We don't rely on ABC alone
Value alone isn't enough to determine an industrial part's importance.
Replacements need documented data
No compatibility is suggested without an approved catalog or rules.
Service matters more than forecast precision
We measure the decision's impact on both availability and cost.
Human review for disposal
Scrapping or selling old stock remains a decision the team approves.
08 — Sector references
The bodies and regulations your sector operates under.
Direct links to the standard-setters in your field. Once live, Keeper is calibrated to your policies and operational reality.
01ScienceDirect — The complexity of intermittent demand for industrial spare parts↗02ScienceDirect — A critical review of intermittent demand forecasting for spare parts↗03ScienceDirect — The impact of intermittent and lumpy demand using a distributor's 46,272-item dataset↗04ScienceDirect — The gap between research and practice in spare parts classification and forecasting↗
09 — Other sectors
Same team, a different sector's language.
The core capabilities are shared, but the signals, priorities, and decision workflows change fundamentally.
A respectful comparison
Where Keeper stands versus global platforms for this sector.
| Comparison point | Keeper | Global platforms |
|---|---|---|
| Where it sits | An intelligence and operating layer on top of existing systems | Broad planning and execution platforms that vary by vendor |
| Starting point | A focused, sector-specific use case | A defined module or a wider transformation program |
| Localization | An Arabic experience, Saudi context, and local support | Localization varies by platform and partner |
| Implementation | Fully operational within two weeks after data and agreed integrations are complete | Varies depending on scope, data, and integration |
| Pricing | Clear packages with defined additional scopes | Often custom pricing |
| Core advantage | Proximity, flexibility, local context, and decision linkage | Global breadth and depth of enterprise functionality |
Illustrative data used to explain the output format, not client results. This comparison is offered respectfully, without claiming absolute superiority; every solution has its own context and scope.
Before you ask
Sector questions — answered directly.
Does Keeper replace an ERP or WMS system?
No. Keeper is an intelligence layer that runs on top of your existing systems. Operational systems continue managing transactions and execution, while Keeper links their data, surfaces risks, and proposes decisions.
Do we need perfect data before starting?
No, data doesn't need to be perfect. Available sources and fields are assessed, and what's sufficient for priority use cases is determined, with quality gaps that may affect the analysis clearly flagged.
Are the recommendations fully automated?
That depends on the organization's policy. A recommendation can be shown for review only, routed through an approval workflow, or trigger specific actions through agreed integrations and permissions.
Can the system be configured to our rules?
Yes. Inventory policies, critical materials or items, service levels, constraints, user approvals, and other organization-specific business rules are all accounted for.