"The stock is there — but which batch is valid? Where is it? And can it be distributed now?"
Organizations in this sector don't need a new system that duplicates ERP or WMS. They need visibility that links what's happening today with what may happen tomorrow, surfacing risk before it becomes a stockout, a halt, waste, or an unmet commitment. Keeper works as an intelligence layer on top of existing systems, gathering inventory, purchasing, demand, supplier, and operations signals, interpreting them per the sector's nature, then ranking cases by impact and proposing the right action with its reasons.
Priority isn't just the biggest number.
Keeper ranks signals by remaining batch life and the impact of a stockout on your customer.
Drug manufacturers, pharmaceutical importers and distributors, medical device and supply companies, pharmacy chains, and medical warehouses. This page does not target hospital operations as a clinical system.
Products move through manufacturing or import, release and inspection, central and regional warehouses, and distributors, pharmacies, and institutional customers. Quantity, batch, expiry, regulatory status, and storage conditions must stay clear throughout the journey.
The decision gets harder when data is spread across the planning system, warehouses, purchasing, sales, and team files. Each piece of information may be correct on its own, but the full picture only emerges when linked across time, operations, and finance.
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 for intervention had passed. That's where Keeper adds value: making risks and alternatives visible before the action becomes urgent.
An essential item stocks out despite an overall inventory that just isn't distributed correctly.
Batches accumulate that can't be sold off within an acceptable remaining shelf life.
Handling a recall or quarantine is delayed because data is scattered.
Resulting from unclear demand and release and supply lead times.
Measuring suppliers without linking performance to product importance and the impact of delay.
Instead of forecasting risk before it appears and handling it calmly.
Inventory in one report, purchasing in another, production or sales on a different screen. The problem isn't a flaw in these systems; they are designed primarily for execution, control, and documenting operations. But a supply chain decision needs an extra layer that links demand to inventory in transit, supplier performance to the affected items, surplus in one location to shortage in another, and the operational decision to its financial impact.
| Area | Your current systems | With Keeper |
|---|---|---|
| Batches & expiry | Logged in separate reports | Ranked by remaining life, value, and channel |
| Forecasted stockouts | Appears after it happens | Risk date, locations, and affected customers in advance |
| Recall & quarantine | Manual assembly across systems | Affected batch locations, quantities, and status instantly |
| Supplier risk | General performance, disconnected from impact | Linked to item importance and lack of an alternative |
| Redistribution | Surplus and shortage in scattered reports | Transfer suggestion factoring batch, expiry, and cost |
Keeper works on top of your current systems and makes use of their data without asking your organization to replace its operating structure. When a recommendation appears, the user can trace back to the reasons and data behind it.
No. Keeper is an intelligence layer that works on top of existing systems. Operational systems continue managing transactions and execution, while Keeper links their data, surfaces risk, and proposes decisions. Operations are not copied into a replacement system; data is read from agreed sources and unified into an analytical layer.
From the Keeper team, these agents carry the heaviest load in this sector. See the full team →
Operations are not copied into a replacement system; data is read from agreed sources and unified into an analytical layer. You can start with the core sources, then add others once they prove useful for a specific use case.
Identity, approved substitute, and importance level for each item.
Batch number, expiry date, and remaining shelf life at every point.
Each batch's status: quarantined, under inspection, or released.
Temperature and humidity requirements for each sensitive item.
Affected batches, locations, and impacted quantities.
Demand by location, purchase orders, and release/supply lead times.
That's why cases in Keeper are framed around a clear decision: the problem, timing of impact, who's affected, the estimated value, the alternatives, the supporting data, and who holds approval authority.
When is the impact of a stockout, expiry, or delay expected to appear?
Which products, locations, or customers are affected, and what's the estimated value or risk?
What options are available, and what data supports each recommendation?
The approver and the decision outcome remain available for later review.
An inventory report may show a quantity that looks sufficient on its own. But Keeper links it to upcoming demand, reservations, unavailable inventory, purchase orders, supplier performance, and sector-specific constraints.
Every recommendation is linked to its data source, last update time, assumptions, and confidence range.
From forecasting stockouts of important items to supporting recalls and ranking supplier risk.
Links balance, demand, contracts, open orders, remaining shelf life, and supply reliability, showing the risk date, locations, and potentially affected customers.
Identifies batches that may lose their sellability, factoring the minimum remaining life required by each channel or customer.
Detects surplus at one location versus expected shortage at another, and suggests a transfer that accounts for batch, expiry, and cost.
Helps identify affected batch locations, quantities, status, and routes to speed up the decision and follow-up.
Links delay, variability, quality, and release time to item importance and lack of an alternative.
One company's priority might be protecting service levels, while another focuses on reducing working capital, cutting waste, or stabilizing production.
Showing boundaries builds trust: Keeper depends on source data quality, and preserves human approval for sensitive decisions.
Operational systems remain the source of execution and documentation; Keeper only links their data.
Available sources are assessed and what's sufficient for priority cases is determined, with quality gaps surfaced.
Depends on the organization's policy: review, an approval path, or execution via agreed integrations and permissions.
Every recommendation and action is tied to its source and reasoning, and available for later reference.
Direct links to the rule-makers in your field. Once operating, Keeper is calibrated to your policies and operating reality — this is not a substitute for legal review.
The core capabilities are shared, but the signals, priorities, and decision procedures change fundamentally.
| 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 provider |
| Starting point | A focused, sector-specific use case | A specific module or a wider transformation program |
| Localization | Arabic experience, Saudi context, and 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 | Often custom pricing |
| Core advantage | Proximity, flexibility, local context, and decision linkage | Global breadth and depth of enterprise functionality |
We mention this comparison respectfully, without unverified names or figures. The difference we focus on: an Arabic-language operational intelligence layer, with Saudi context, and fast deployment on top of your existing systems.