Keeper by NEXTA — the operational intelligence layer for supply chains
Your systems record operations.
Your systems record operations.
Keeper connects the signals and drives the next decision.
Keeper runs above your ERP, WMS and other data sources, and deploys AI agents to monitor exceptions across demand, inventory, suppliers and shipments. The agents connect signals to one another, quantify financial and service-level impact, and either issue a documented recommendation or prepare the action inside your existing approval workflow.
No system replacement · No decisions without evidence · No execution outside your permissions
Integrates with common enterprise systems and databases, including SAP, Oracle, Microsoft Dynamics, Odoo, NetSuite and WMS platforms, with custom connectors on request.
01 — Where Keeper sits in your stack
Your ERP is the system of record and execution. Keeper is the sensing, analysis and decision layer above it.
Modern ERPs already offer forecasting, analytics and agents of their own. What Keeper adds is a layer that unifies what no single system can:
Cross-system linkage
Merges signals from ERP, WMS, TMS and other sources into a single decision view.
Continuous exception analysis
Detects deviations as they happen, not at the end of a daily or weekly report.
Cause and impact explanation
Ties every exception to the SKUs, branches and customers affected, and quantifies the impact in currency and service level.
Value-based prioritization
Directs the team's attention to the highest-impact decision, not an endless KPI list.
Decision and outcome memory
Preserves the context of each decision — constraints, rejected alternatives, and the actual outcome after execution.
Governed execution in your systems
An approved recommendation becomes a draft transaction inside the source system, under your approval matrix.
02 — A different view of the data for each decision level
Keeper delivers the view each function actually needs — from the same underlying data.
Executive leadership
"Where are cash and service-level risks concentrated, and which decisions need intervention this week?"
A weekly decision brief: what changed, its impact in currency or service level, what was executed, and what is waiting on leadership.
Supply chain management
"Which exceptions will affect availability, inventory or commitments over the coming weeks?"
A prioritized exception list with context and available options — before a signal becomes a crisis.
Planning & procurement
"What quantity, timing and supplier are best given the forecast, lead time, MOQ and service level?"
An explainable replenishment recommendation: confidence range, assumptions, and an alternative scenario — before the PO is created in the ERP.
IT & data
"How are sources connected, permissions enforced, and decision history preserved — without replacing existing systems?"
Integration via approved connectors, full data isolation between customers, an audit trail for every recommendation and decision, and a permission matrix inherited from your systems.
03 — The team
Agents. Each adds what your source systems don't provide on their own.
We don't restate functions already in SAP, Oracle or Dynamics. Each agent here adds a layer of linkage, analysis, explanation or memory above what your systems already record.
01
Inventory Movement
Analyzes each SKU's position across branches and channels, distinguishes temporary surplus from true slow-movers, then compares transfer, markdown or purchase-halt options against margin, expected demand and holding cost.
Output: treatment options ranked by financial impact, each with an expected outcome.
02
Demand Forecasting
Builds a probabilistic forecast and back-tests it against actual demand, then combines lead time, MOQ, service level, promotions and external signals to produce an explainable replenishment recommendation.
Output: recommended quantity and timing, with confidence range, assumptions and an alternative scenario.
03
Supplier Management
Predicts non-compliance risk on open POs and ties it to the SKUs, customers and production plans affected, then compares treatments: expedite, alternate supplier, or inventory reallocation.
Output: supplier risks ranked by real impact — not just historical scoring.
04
Inventory Count
Detects abnormal patterns across movements, sales, returns and transfers, then directs counts toward the SKUs and locations most likely to be wrong and highest in financial impact.
Output: a risk-based count list, with the reason each item was selected and the likely root cause of any variance.
05
Shipments
Turns a shipment delay from a logistics event into an operational impact: which customer, production line or SKU will be affected, when, and what mitigation options are on the table.
Output: expected impact and a mitigation plan — not just an updated ETA.
06
Execution
Converts an approved recommendation into a draft transaction inside the source system, complete with quantity, supplier, cost center, rationale and attachments, under your approval matrix.
Output: a decision ready to be processed inside the ERP — not a parallel document competing with it.
07
Operational Memory
Preserves the context of past decisions: the constraints in place, the alternatives rejected, and the actual outcome after execution. When a similar case recurs, prior experience is brought forward instead of restarting from zero.
Output: an auditable institutional memory that links each decision to its outcome.
08
Executive Briefing
Produces a summary built on exceptions and decisions: what changed, its impact in currency or service level, what was executed, and what awaits leadership.
Output: a decision brief — not another KPI report.
04 — How the team works: a full decision cycle
From signal to execution inside your system, and then to measurement of actual impact.
1. Sense
Detect a change or deviation across systems and sources.
2. Link context
Identify the SKUs, branches, customers and suppliers affected.
3. Quantify impact
Calculate each option's impact on inventory, cash, margin and service level.
4. Test alternatives
Compare transfer, purchase, expedite, reschedule — or no intervention.
5. Recommend
Present the best action with evidence and a confidence range.
6. Approve
Route the decision through your existing permission matrix.
7. Execute
Create the draft or transaction inside the source system (ERP/WMS/TMS).
8. Measure outcome
Compare actual impact to expected, and record what was learned.
05 — Evidence
Published reference results — not promises.
20–50%
Reduction in demand forecast errors when adopting AI-supported forecasting over manual methods.
McKinsey — AI in supply chainup to 65%
Reduction in lost sales from stock-outs in chains that adopt intelligent demand planning.
McKinsey — Smart forecastingThese are published reference results for AI applications in forecasting, not a guarantee of any specific outcome. Keeper's results are measured against each customer's baseline and data.
06 — Where Keeper sits vs. global enterprise platforms
A confident, respectful comparison — not a claim against the competition.
| Dimension | Keeper | Global enterprise platforms |
|---|---|---|
| Position | Intelligence and orchestration layer above existing systems | Broad enterprise planning and execution suites |
| Starting point | A specific use case or agent | A transformation program or a suite of modules depending on the platform |
| Localization | Arabic-native experience, Saudi operational context, local support | Broad global configuration; localization depth varies by platform and partner |
| Delivery | Focused scope and phased integration | Ranges from a quick single-module go-live to a wide enterprise program |
| Contracting | Published packages and clearly scoped add-ons | Custom pricing, typically based on modules, volume and delivery |
| Core edge | Proximity, flexibility, Arabic, and a focused start | Global breadth and depth of enterprise functionality |
We name competitors and acknowledge their capabilities — including the agents and fast single-module rollouts offered by platforms such as RELEX, Blue Yonder, Kinaxis and SAP. Keeper is a different choice by position and approach, not a bid to diminish those platforms.
07 — Governance and permissions
Read-only by default. Execution is available — with permissions and approval.
Full data isolation
Each customer's data is isolated. No customer data is used to train models shared across customers.
Inherited permissions
Each agent operates with the permissions of the user it represents — no escalation, no access to unauthorized data.
Approval before execution
Any write or send into your systems goes through approved connectors and a recorded sign-off inside the approval workflow.
Full audit trail
Every recommendation has a reason, numbers and a data source — reviewable and auditable afterward.
08 — Before you ask
The questions we hear from IT and supply chain leaders.
We already run SAP/Oracle/Dynamics — does Keeper replace them?
No. Your ERP is the system of record and execution. Keeper runs above it as a sensing, analysis and decision layer: it connects signals across systems, quantifies impact, and prepares the action inside the source system through your existing approval matrix.
How do you handle data quality?
We start with a data-readiness assessment (coverage and freshness), and every output shows its confidence level and the data it was built on. Keeper can run on the sources you have today, and we only recommend data improvements where they measurably move a decision or a return.
Do you train models on our company data?
We do not use one customer's data to train models shared across customers. Keeper adapts to your organization's context — policies, decision history, approval matrix — inside your environment only, with full isolation between customers.
What is the integration scope?
Approved connectors for SAP, Oracle, Microsoft Dynamics, Odoo, NetSuite and WMS platforms, plus custom connectors over REST/SFTP/databases where needed. We start with read-only sources, then add write access for execution once permissions and testing are ready.
What happens in the first 30 days?
We establish the baseline and measure recommendation accuracy, risk-detection lead time, the share of approved actions and the actual financial or operational impact. You receive a documented report showing where Keeper created value and where it needs more data or tuning.
What are the agents' authority limits?
Limits are built into the platform's design: each agent accesses only authorized data, never exceeds the permissions of the user it represents, and any write or send into your systems happens only through approved integrations with a recorded sign-off.
Optional capabilities
Need more? It adds on — same platform.
The core team covers your supply chain. Some companies need wider domains — activated on request, with a clear quote, and no new system.
Receivables & Collections
Debt aging, overdue exposure, per-customer collection priority, and follow-up messages ready to send after your approval.
Runs on your invoice and payment data
Sales & Margin Intelligence
Sales versus targets, margin per SKU and customer, and missed-margin opportunities — in your currency.
Runs on your sales and cost data
Advanced External Risk Modules
Temperature sensors, fleet tracking and cold-chain intelligence through specialist provider integrations — for sensitive transport operations.
Requires a third-party provider integration
A Custom Agent on Your SOP
Your company's own operational procedure — its triggers, approvals and an agreed success measure — built, tested and handed over.
Scoped and quoted separately
Capacity & Customization
Extra users and warehouses, custom reports and dashboards, higher sync frequency — grows with you without a full tier upgrade.
Sized to your need — detailed in the quote