Early purchases before dates are clear
Quantities bought before the real execution date is confirmed, freezing cash.
"Buying early freezes cash; buying late threatens the schedule and the margin."
Organizations in this sector don't need another system duplicating what ERP or WMS already do. They need visibility that connects what's happening today with what might happen tomorrow, surfacing risk before it becomes a stockout, a stoppage, waste, or an unmeetable commitment. Keeper works as an intelligence layer on top of existing systems, pulling together inventory, purchasing, demand, supplier, and operations signals, interpreting them for the sector, ranking cases by impact, and proposing the right action with its reasons.
Priority isn't just the highest number.
Keeper ranks cases by their impact on schedule, margin, and cash, with the reasoning behind every recommendation.
Purchasing is tied to quotes, contracts, project schedules, approvals, and staged deliveries. Consumption can shift due to site delays, scope changes, or rescheduling — while materials have already been bought or shipped.
Quantities bought before the real execution date is confirmed, freezing cash.
Until an emergency shipment becomes the only option left.
Blocking quantities from being used on a more urgent opportunity.
No real visibility into price, currency, and freight volatility.
Incomplete quantities pile up and become difficult to use or sell.
Commitments made against inventory that isn't actually available.
ERP and WMS systems record transactions accurately, but each shows its own domain in isolation. Keeper links demand to inventory in transit, supplier performance to affected materials, and surplus at one site to shortage at another.
| Domain | ERP & project systems | What Keeper adds |
|---|---|---|
| Project contracts & phases | Plan, quantities, dates | Links them to actual consumption and upcoming risk |
| Committed inventory | Balance and reservation by project | Surfaces exposure and reallocation opportunities |
| Quotes & purchasing | Orders, contracts, lead times | Compares purchase timing against cash-freeze risk |
| Price indices | Report or external source | Links scenarios to uncovered quantities and margin |
| Delivery & shipping | Schedules and dates | Ranks risk by contract value and penalty exposure |
Keeper doesn't replace your systems or write into them. It reads with read-only access and adds an operational intelligence layer that turns your data into a decision — nothing executes without your approval.
From the Keeper team, these agents carry the heaviest load in this sector. See the full team →
Operations aren't copied into a replacement system — data is read from agreed sources and unified into an analytical layer. Start with core sources, then add more once they prove useful.
Delivery schedules, reservations, change orders, completion rates.
Free vs. committed inventory by project and customer.
Quotes, purchase orders, lead times, and prices.
Lead times, supplier performance, arrival dates.
Site capacity, loading, and handling of heavy quantities.
Specification and unit data for each item and project.
Every recommendation shows its data, its reasoning, and the next step.
Compares committed quantities against the project's actual timeline.
Links historical prices and quotes to inventory and expected demand.
Distinguishes what's reserved for a project from what can be reallocated.
Accounts for storage and transport constraints in every recommended action.
An inventory report may show a quantity that looks sufficient. Looking at the number alone, there's no problem. But Keeper links that quantity to upcoming demand, reservations, unavailable stock, purchase orders, supplier performance, and sector-specific constraints.
Every recommendation is tied to its source, timing, and approval scope.
From aligning demand with the project program to clearing project leftovers.
Flags early purchases or delay risk versus the execution schedule.
Shows materials held for delayed or unconfirmed projects and evaluates reallocation.
Compares early purchasing against the risk of freezing cash.
Ranks materials threatening a delivery date by contract value and impact.
Suggests reuse, resale, or stopping repeated purchases of the same item.
Metrics are chosen based on organizational goals and data availability — no single model is imposed on every client.
Being clear about limits builds trust: Keeper relies on source data quality and keeps human approval in sensitive decisions.
Operational systems continue managing transactions and execution.
Surfaces quality gaps that could affect analysis rather than hiding them.
Subject to organizational policy — from review to approval to execution.
Inventory policies, critical materials, service levels, and permissions.
Direct links to those who set the rules in your field. At go-live, Keeper is calibrated to your policies and operating reality.
Core capabilities are shared, but signals, priorities, and decision actions change fundamentally.
| Comparison | Keeper | Global sector platforms |
|---|---|---|
| Notable names | Keeper agent team | o9 · Kinaxis · Epicor Enterprise planning platforms established globally in industrial and project sectors |
| AI agents? | Yes — in Arabic with Saudi context (SFDA/ZATCA/GASTAT where applicable) | Yes, mostly in English without Arabic localization or Saudi context |
| Annual cost | SAR 75K–160K — published | $100K–500K+ per year* |
| Go-live time | Two weeks after data and integrations are complete | 4–12 months |
| Built for whom? | Mid-size to large Saudi companies: published packages, plus a dedicated enterprise package | Large enterprises on a general market model |
* Estimates from third-party reports (2025–2026) — these platforms don't publish official pricing. We name our competitors and acknowledge their capabilities. Our difference: an Arabic agent team with Saudi context, go-live within two weeks, published packages for mid-size companies, and a dedicated enterprise package without a two-year implementation project.