Right quantity, wrong time or location
An overall correct purchase quantity arrives at the wrong time or the wrong place.
01 — From supplier to shelf, without losing remaining shelf-life value
"The batch expired, and the team only found out on the day of disposal."
Balance product availability with waste reduction before stock value is lost.
This sector doesn't need a new system duplicating your ERP or WMS — it needs a view that links what's happening today with what could happen tomorrow, surfacing stockout, disruption and waste risk before it becomes an unmeetable commitment.
Keeper Sector RadarSector signals
Value exposed to expirySAR 286KIllustrative example
Batches needing action14Within 30 days
Fast-mover SKU coverage92%By branch
Value exposed to expiry
SAR 286K
Batches needing action
14
Fast-mover SKU coverage
92%
Priority isn't just the highest number.
Keeper ranks signals by the amount at risk and the time remaining before action becomes impossible.
01 — Where the money leaks
Where profitability leaks in the food & beverage chain.
These losses don't always mean the team made the wrong call. Often it was the best decision given the information available at the time — but the important signals were scattered or surfaced too late to act.
Near-expiry batches where demand is weak
Near-expiry batches pile up in one warehouse while real demand for them exists elsewhere.
Demand averages that ignore seasonality
Purchasing plans that don't account for season, promotions, weather and events raise forecast error.
Fast movers stock out despite high total inventory
The aggregate number looks reassuring while the SKUs that matter most run out at the customer.
Waste handled after it happens, not before
Expiry risk is often discovered after the window for economical intervention has closed.
Production plans misaligned with remaining shelf life
Production plans don't always balance available materials against their remaining shelf life.
Beyond your current systems
What does Keeper add on top of your existing systems?
Your ERP, WMS and specialized systems hold records, transactions and official plans, and may offer advanced analytics. Keeper doesn't replace or duplicate these capabilities; it links context across systems and sources, surfaces exceptions early, compares handling options, and ranks decisions by their financial and operational impact.
| Question | Your current system | With Keeper |
|---|---|---|
| Reorder point | A threshold reviewed periodically per planning rules | Reviewed automatically as season and supplier performance change |
| Slow-moving SKUs | A report pulled on demand | A list arrives with the exposed value and a liquidation option |
| Margin | Calculated within the accounting cycle | Estimated before the purchase decision is made |
| Supplier delay | Logged after it happens | Anticipated in advance with a ready alternative for comparison |
| Customer delivery date | Recorded in the sales order | An early alert if the SKU won't arrive on time |
Keeper starts with a read-only connection by default. Draft creation, transactions or messages can be enabled through defined integrations and permissions and approval paths agreed with the company. Keeper takes no action outside authorized and logged boundaries.
Your team in this sector
Four agents covering the biggest risks in food & beverage — by name and job.
Of the Keeper team, these agents carry the heaviest load in this sector. Meet the full team →
02
Demand Forecasting Agent
Analyzes demand by SKU, location and period, and links shifts to seasons and promotions to separate real growth from a temporary spike.
01
Inventory Movement Agent
Flags batches at risk of expiry, compares remaining shelf life to expected demand, and proposes a transfer between locations before any new purchase.
05
Inventory Count Agent
Applies FEFO across the network, not within a single warehouse, choosing the best location for each batch by age, demand and transit time.
03
Supplier Management Agent
Documents any supplier delivering late or with shorter shelf life than agreed, and prepares a negotiation file backed by the numbers.
02 — Sector signals
The data Keeper links in this sector.
Operations aren't copied into a replacement system; data is read from agreed sources and unified in an analytical layer, starting with core sources and expanding over time.
Batches and production/expiry dates
Batch/Lot, and production and expiry dates for each batch.
Remaining shelf life and FEFO
Remaining shelf life on arrival and the minimum acceptable age at delivery.
Returns and waste
Waste causes: expiry, damage, or planning gaps.
Demand by location and season
Demand by SKU and location, plus promotions, seasons and events.
Temperature
When sensors or refrigerated/frozen transport and storage logs are available.
Lead times
Supplier lead times and actual performance versus agreed terms.
03 — How it works
From sector signals to an understood decision.
Priority differs between a shelf-life-bound SKU and a slow-moving one. Every recommendation shows its data, its reasoning and its next step.
Seasonality-aware demand forecasting
Analyzes demand by SKU, location and period, linking shifts to seasons, promotions and known events.
Expiry risk management
Flags batches that may not sell through before their date, and suggests a transfer, faster sale, or purchase adjustment.
Network-wide FEFO optimization
Chooses the best location for each batch based on age, demand, transit time and receiving terms.
Waste and returns reduction
Links waste to its cause, supplier, location and prior decisions, making improvement preventive.
04 — A window into the product
What the output the team sees looks like.
We don't just show a chart, but a single position: which SKU, what it's worth in SAR, and the fastest option to move it — under your approval.
Illustrative operational example — data showing the shape of the output, not client results
Expiry risk — 250ml juice
Value exposedSAR 86,400
Remaining shelf life24 days
Current branchSlow-moving
Alternative branch5-day coverage
Why?
The current batch won't be liquidated before expiry at the current rate. Transferring 1,200 cartons to two faster-moving branches reduces exposure, then a limited discount is applied to the remainder.
The current batch won't be liquidated before expiry at the current rate. Transferring 1,200 cartons to two faster-moving branches reduces exposure, then a limited discount is applied to the remainder.
Every recommendation is linked to its data source, last update time, assumptions, and confidence range.
05 — Recurring actions
Three situations that repeat in your sector, each with a ready action.
Situations that recur in every wholesale warehouse: stock nearing expiry, a customer whose order changed, and a supplier who's late — each with a ready action.
A daily list ranked by value and remaining shelf life, with the best channel to liquidate each batch.
Raises coverage early only for SKUs whose history proves a seasonal spike.
Flags any supplier delivering with less remaining shelf life than agreed and factors it into the evaluation.
06 — Measuring success
The metrics that must improve.
The right metric varies by sector. Success is measured by what happens to your capital: how much is freed from slow-moving stock, and how much stockouts drop at your customers.
Value of waste and expiry01
Share of short-dated inventory02
SKU availability rate03
Forecast accuracy by category04
Supplier adherence to remaining shelf life05
Internal transfers before purchase06
07 — Clear limits
What we state precisely, and what we don't claim.
Showing limits builds trust: Keeper relies on the quality of its sources and preserves human approval for sensitive decisions.
FEFO, not just FIFO
Priority goes to the nearest expiry when SKU rules allow.
No execution without approval
Transfers, discounts or orders remain under your authority.
Optional temperature linkage
Temperature monitoring is never claimed without a reliable data source.
Clear financial impact
Every alert shows the exposed value and the proposed action.
08 — Your sector's references
The bodies and regulations your sector operates under.
Direct links to those who set the rules in your field. Once live, Keeper is calibrated to your policies and business reality.
09 — Other sectors
Same team, a different sector's language.
The core capabilities are shared, but the signals, priorities and decision actions change fundamentally.
A fair comparison
Where Keeper stands versus global platforms.
| Comparison point | Keeper | Global platforms |
|---|---|---|
| Where it sits | An intelligence and operations layer above 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 and local support | Localization level varies by platform and partner |
| Rollout | Fully operational within two weeks after data and agreed integrations are complete | Varies by scope, data and integration |
| Pricing | Clear packages with defined additional ranges | Usually custom pricing |
| Core advantage | Proximity, flexibility, local context and decision linkage | Global breadth and depth of enterprise functionality |
Before you ask
Sector questions — with straight answers.
We have thousands of SKUs with varying shelf lives — can the team cover them all?
That's exactly what it's built for. The agents scan every SKU daily and surface only what needs a decision, ranked by financial value — not as a list of thousands of rows.
Our distribution spans multiple regions — how does Keeper handle that?
Each region or warehouse gets its own read: a surplus SKU in Dammam may be short in Jeddah, and the first recommendation is often an internal transfer before any new purchase.