A production order stops for one material
A production order stops because a single material is missing, even though every other component is available.
01 — Keep production running without over-stocking
"A balance that looks sufficient on paper — and a line stopped because no one noticed one material running out."
Keep production running without over-stocking
Organizations in this sector do not need a new system that duplicates what an ERP or WMS already does. They need visibility that connects what is happening today with what may happen tomorrow, and surfaces risk before it becomes a stockout, a stoppage, waste, or a commitment that cannot be met. Keeper works as an intelligence layer on top of existing systems: it gathers signals from inventory, purchasing, demand, suppliers and operations, interprets them according to the sector's nature, ranks cases by impact, and proposes the right action with its reasoning.
Keeper Sector RadarSector signals
Material shortage risks6Illustrative example
Stagnant stock tied to productsSAR 94KIllustrative monthly example
Exposed production orders4Need a decision
Material shortage risks
6
Stagnant stock tied to products
SAR 94K
Exposed production orders
4
Priority isn't just the highest number.
Keeper ranks signals by their impact on the production schedule and the time left before a stoppage.
01 — Who this page is for
Plastics, metals, chemicals, packaging, furniture, electronics and consumer goods manufacturers.
As well as factories working with multiple raw materials or complex bills of materials. The chain starts with demand forecasting and the sales plan, then production and material planning, supplier confirmation, receiving and inspection, making materials available to lines, converting them into finished goods, then distribution. A deviation in one link can propagate through every link after it, and the decision gets harder when data is spread across the planning system, warehouses, purchasing, sales and team spreadsheets.
Excess buffer purchasing
Buying high buffer quantities to compensate for low confidence in the plan or the supplier.
Materials tied to slow-moving products
Materials accumulate against products whose demand dropped or whose design changed.
Gradually deteriorating supplier reliability
A supplier's reliability erodes slowly, and it is discovered too late.
A plan that ignores real constraints
Executing a production plan that doesn't reflect the real constraints of materials, capacity and deadlines.
Costly emergency shipments
Everyday problems turn into rush orders and expensive emergency shipments.
These losses don't always mean the team made a wrong call. Often the decision was the best one given the information available at the time — but the important signals were scattered or surfaced after the window to act had closed. This is where Keeper adds value: making risks and alternatives visible before an action becomes an emergency.
Above your current system
Why isn't traditional reporting enough on its own?
ERP and WMS systems record transactions accurately, but they usually show each domain within its own boundaries: inventory in one report, purchasing in another, production or sales on a different screen. The team then has to manually assemble the full picture to understand what will happen next. The problem isn't a flaw in these systems — they are built primarily for execution, control and record-keeping. But a supply chain decision needs an additional layer that connects demand to in-transit inventory, supplier performance to affected materials or items, surplus in one location to shortage in another, and an operational decision to its financial impact.
| Area | Your current systems | With Keeper |
|---|---|---|
| Inventory report | A quantity that looks sufficient, out of context | Connected to upcoming demand, reservations and unavailable stock |
| Material shortage | Appears after a production order is disrupted | Appears with the impact date and the affected product or customer |
| Supplier performance | A general average lead time | Linked to material criticality, frequency of emergencies and impact on production |
| Stagnant inventory | Discovered during counting or write-off | Flagged early with a suggested reallocation or alternative use |
| Production plan | A fixed schedule, disconnected from changes | Delay, demand and stoppage scenarios are tested before it's locked in |
Keeper works on top of your existing systems and uses their data without asking your organization to replace its operating architecture. When a recommendation appears, the user can trace back the reasons and the data behind it, instead of dealing with a vague alert or a hard-to-interpret model.
Sector-specific use cases
Five use cases that recur across this sector.
These are the Keeper agents that carry the heaviest load in this sector. See the full team ←
02
Demand Forecasting Agent
Connects each material to forecast demand, production orders, the bill of materials, reservations, open purchase orders and supplier reliability — not just a balance-versus-reorder-point comparison.
03
Supplier Management Agent
Links supplier delays to material criticality, frequency of emergencies, commitment quality and impact on production, surfacing risks a general average would hide.
04
Inventory Count Agent
Flags materials with declining usage, ties to slow-moving products, or balances exceeding expected consumption, and suggests reviewing purchasing, alternative use, or reallocation.
07
Operational Memory Agent
Identifies affected orders, capacity that may be disrupted, and revenue or commitments at risk when a shortage occurs — so priorities aren't set by material value alone.
Scenarios can also be tested: a supplier delay, a demand spike, a line stoppage, or a material price increase — comparing the impact of alternatives before committing to a plan.
02 — Sector signals
The data Keeper connects.
Operations are not copied into a replacement system; data is read from agreed sources and unified into an analytical layer. You can start with core sources, then add others once they prove useful for a specific use case.
Bills of materials and production orders
BOMs, production orders, and plan changes.
Material balances and reservations
Balances, reservations, and approved alternative materials.
Actual lead times
Real supply lead times and supplier deviations from commitments.
Waste rates and maintenance orders
Actual versus planned waste, and maintenance orders linked to lines.
Open demand
Open orders and forecasted upcoming consumption.
Plan changes
Reviewing production plan revisions against material availability before approval.
03 — Decisions Keeper helps improve
From sector signals to an understandable decision.
Every recommendation shows its data source, its reasoning, and its next step — not just an isolated alert.
What should be purchased now?
And what can be deferred, with the impact of each option on availability and cash flow.
Where should available stock be placed?
And which supplier, item or location is silently raising risk.
What is the impact of a plan change before it's made?
And where can inventory be reduced without threatening service levels.
Which cases deserve management attention?
And which action achieves the best balance between availability and liquidity.
04 — A window into the product
An operational example — the daily experience with Keeper.
Suppose an inventory report shows a quantity that looks sufficient. Looking at the number alone, there's no issue. But Keeper connects that quantity to upcoming demand, reservations, unavailable stock, purchase orders and supplier performance. The numbers below are illustrative, meant to show the shape of the output, not a client's actual results.
Illustrative operational example
Shortage risk — a material used in multiple products
Apparent balanceLooks sufficient
Actual stockout dateIn 11 days
Affected orders3 orders
Revenue at riskSAR 210K
Why?
The balance is numerically sufficient but doesn't account for reservations and upcoming production orders and unavailable stock. Recommendation: expedite the open purchase order, with the option to transfer quantity or use an approved alternative in the meantime.
The balance is numerically sufficient but doesn't account for reservations and upcoming production orders and unavailable stock. Recommendation: expedite the open purchase order, with the option to transfer quantity or use an approved alternative in the meantime.
Instead of a plain "low stock" alert, the system shows the reason for the risk, the time available to act, and compares the impact of each option before it's approved.
05 — From alert to action
Seven questions every case is built around.
An alert alone doesn't solve the problem. That's why cases in Keeper are framed around a clear decision, helping purchasing, planning, inventory and operations teams work from a single picture.
And when is its impact expected to appear.
Which products, locations or customers are impacted.
What's the estimated value or risk, what alternatives exist, what data supports it, and who has authority to approve the action.
06 — Measuring success
Performance indicators suited to this sector.
Metrics are chosen based on organizational goals and data availability — no single template is imposed on every client. Keeper's value is measured by what changes operationally, not by the number of dashboards or alerts.
Material-related production stoppages01
Adherence to production plan02
Availability of critical materials03
Material inventory turnover04
Value of stagnant inventory05
Emergency purchases06
Supplier commitment07
Consumption forecast accuracy08
07 — Clear boundaries
What Keeper doesn't do.
Showing boundaries builds trust: Keeper depends on the quality of its sources, keeps humans in the loop for sensitive decisions, and can run on top of your systems within two weeks of data delivery and completed permissions.
Does not replace ERP or WMS
Operational systems keep managing transactions and execution, while Keeper connects their data and surfaces risk.
Does not require perfect data
Available sources and fields are assessed, enough is identified for priority cases, and quality gaps are surfaced.
Recommendations aren't necessarily automatic
They can be shown for review only, routed to an approval path, or trigger specific actions under agreed permissions.
Does not impose uniform rules
Inventory policies, critical materials, service levels and business rules specific to each organization are respected.
08 — Getting started
Running on top of your systems within two weeks.
Once the required data is delivered and access permissions and agreed integrations are complete, Keeper can be fully operational within two weeks. Work starts with a clear scope and high-impact use cases, then coverage expands based on results and need.
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 fair comparison
Who serves your sector globally — and where we stand, honestly.
| Comparison point | Keeper | Global sector 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 specific module or a wider transformation program |
| Localization | Arabic experience, Saudi context, local support | Localization level varies by platform and partner |
| Implementation | Fully operational within two weeks after data and agreed integrations are complete | Varies by scope, data and integration |
| Pricing | Clear packages with defined additional scopes | Usually custom pricing |
| Core advantage | Proximity, flexibility, local context, and decision-linking | Global breadth and depth of enterprise functionality |
We mention this comparison respectfully, without unverified names or figures. The difference we focus on: an operational intelligence layer in Arabic, with Saudi context, deployed quickly on top of your existing systems.
Before you ask
Sector questions — answered plainly.
Does Keeper replace our ERP or WMS?
No. Keeper is an intelligence layer that runs on top of your existing systems. Operational systems keep managing transactions and execution, while Keeper connects their data, surfaces risk, and proposes decisions.
Do we need perfect data before starting?
No. Available sources and fields are assessed, enough is identified for priority use cases, and quality gaps that could affect analysis are surfaced.
Are the recommendations fully automated?
That depends on your policy. A recommendation can be shown for review only, routed to an approval path, 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 business rules specific to your organization are all accounted for.