Stockout at one branch, surplus at another
A requested item runs out at one branch while surplus exists at another, with no prior visibility to enable a transfer.
"The system says the item is in stock, but the customer sees an empty shelf."
Organizations in this sector don't need a new system that duplicates what ERP or WMS already do. They need a view that links what's happening today with what could happen tomorrow, and surfaces risks before they turn into stockouts, disruptions, waste, or an unmet commitment.
Priority isn't just the highest number.
Keeper ranks signals by their impact on today's sales, and by which branch is able to cover them.
Supermarket, pharmacy, fashion, electronics, furniture, and specialty store chains — especially organizations with multiple branches, warehouses, and channels. The aggregate number can hide a large local problem.
A requested item runs out at one branch while surplus exists at another, with no prior visibility to enable a transfer.
A fixed automatic reorder rule that doesn't reflect changes in behavior, a promotion, or an occasion.
Stock piles up in items that don't fit the location or season, while sales opportunities for other items are lost.
Relying on recorded sales alone without detecting demand lost to a shelf-out.
Markdowns arrive after stock has already lost a large part of its margin.
Stock moved on an emergency, recurring basis because of weak advance visibility between branches.
ERP and WMS systems record transactions accurately, but they typically show each domain within its own boundaries: inventory in one report, purchasing in another, sales on a different screen. Keeper doesn't replace these systems; it links context across them, surfaces exceptions early, compares handling options, and ranks decisions by their financial and operational impact.
| Question | Your current system | With Keeper |
|---|---|---|
| Branch stock balance | A number recorded in the system | Compared against sales behavior to flag cases likely to be inaccurate |
| Stockouts | Appear after the item actually runs out | Anticipated several days in advance |
| Surplus at another branch | Requires manual search and comparison | A transfer is suggested before any new purchase |
| Promotions | Sales are simply recorded as-is | Promotion effect is separated from baseline demand |
| Reordering | Relies on a fixed threshold | Accounts for expected demand, in-transit stock, lead time, and promotions |
Keeper starts with a read-only connection by default. Draft creation, transactions, or messages can be enabled through defined integrations, permissions, and approval paths agreed with the company. Keeper does not execute any action beyond delegated, recorded boundaries.
From the Keeper team, these agents carry the greatest load in this sector. See the full team ←
Integration starts with read-only access and doesn't require replacing your system. It needs to link POS sales to inventory at each branch to reveal the gap.
Available and reserved balances at every branch and warehouse.
Sales by item, branch, and channel, along with returns.
Distinguishing shelf-out from a full store-level stockout.
Open orders and internal transfer movement between locations.
Approved items per location and the shelf space allotted to them.
Campaign start and end, price, and promotional placement.
Priority differs between a shelf-out with a visible balance and an actual stock shortage. Each recommendation distinguishes between the two before proposing an action.
Links balance, movement, prior periods, and substitutes to determine whether the cause is supply-side or in-store execution.
Identifies where a transferable surplus exists and where a shortage is expected, weighing sale value, margin, and transfer cost before recommending.
Accounts for expected demand, in-transit stock, supplier lead time, local assortment, and promotions instead of relying on a fixed threshold.
Detects items whose performance is declining and suggests transfer, order adjustment, or commercial handling before a late markdown.
We don't just show a chart — we show a single position: which branch is out of stock, which branch is overstocked, and what a transfer costs versus a purchase — pending your approval.
Every recommendation is linked to its data source, last update time, assumptions, and confidence range.
Situations that recur in every retail chain: an empty shelf with a system that says it's full, and a promotion that suddenly changed demand — each with a ready action.
An alert when sales stop unreasonably while stock is still recorded, for your team to verify.
Transfers an item from a slow-moving branch to one at risk of stocking out, before purchasing.
Suggests a markdown percentage and timing based on remaining shelf life and sales velocity, within the approved margin policy.
Metric selection differs by sector. Success is measured by shelf availability, stock accuracy, and reduced loss, with the calculation method made clear.
Showing our limits builds trust: Keeper relies on the quality of its sources, and preserves human approval for sensitive decisions.
Each type of shortage has a different action.
The system identifies where counting is most useful.
Cases with a potentially inaccurate balance are surfaced for review, not as final fact.
Limits, margin, and permissions are set by your team.
Direct links to the standard-setters in your field. Once live, Keeper is calibrated to your policies and the reality of your operations.
Core capabilities are shared, but signals, priorities, and decision actions change fundamentally.
| Aspect | Keeper | Global platforms |
|---|---|---|
| Position of the solution | An intelligence and operations layer on top of existing systems | Broad planning and execution platforms, varying by vendor |
| Starting point | A focused, sector-specific use case | A specific module or a broader 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 |