It can see.
Checks the real data before it answers.
Which suppliers are trending late this quarter?
What can we promise for this part, by plant?
How it works
StarLifter learns how your business runs. Then it puts that knowledge to work.
It picks up your definitions, how your systems connect, and how decisions get made, with your team reviewing along the way. Then it can see, show, watch, and act. Every change waits for your approval.
Agent skills & applications
See, show, watch, and
act across your business
Context graph
Who approves what,
policies, commitments,
and relationships
Ontology
How things connect
across your data, systems,
and business model
Semantics
Your data,
metrics, and rules
Agent skills & applications
See, show, watch, and
act across your business
Context graph
Who approves what,
policies, commitments,
and relationships
Ontology
How things connect
across your data, systems,
and business model
Semantics
Your data,
metrics, and rules
Layer 1 · Semantics
Learns your language and your definitions, not generic ones.
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Ask five people what “available inventory” means and you get three answers. StarLifter records your company’s definitions, so every answer is calculated the way your team calculates it.
- New hire, day one
- Knows the textbook definition of available inventory, not yours. Its numbers don’t match your reports.
- With StarLifter
- Uses your definition, your formula and your systems. Every time.
Available inventory Your version, built from all of these
- Data Stock on hand, by location
- Systems ERP, warehouse, and orders
- Rules Holds and allocations excluded
- Logic On hand, minus holds and allocations
Layer 2 · Ontology
Learns how every part of your business connects.
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Your data sits in separate systems. How orders, materials, products and customers link together mostly lives in people’s heads. StarLifter maps those links, so one question can follow them across systems.
- New hire, day one
- Can see orders, suppliers and customers, but not how they relate.
- With StarLifter
- Follows the connections across your systems to see everything a problem touches.
A supplier is running late. What does it touch?
-
Purchase orders
SAP
-
Materials
SAP
-
Products
Planning
-
Customer orders
ERP
-
Top-20 accounts
Salesforce
Layer 3 · Context graph
Learns how your work gets done, so the know-how stays when people move on.
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When to expedite. Who approves what. Which customers come first. That knowledge lives in inboxes and people’s heads, and it leaves when they do. StarLifter captures your playbook and learns from each decision and its outcome, so the knowledge stays with your company and gets sharper over time.
- New hire, day one
- Doesn’t know who approves an expedite, or which customers come first.
- With StarLifter
- Knows your playbook, and sharpens it with every decision.
Your playbook
Asia shipment slips 5+ days Top-tier customer? Expedite
Expedite policy · approved by planning lead -
Decision
Approved in StarLifter
-
Outcome
Measured in your systems
-
Learning
What each outcome teaches
-
Rules refined
With your team’s sign-off
Layer 4 · Agent skills & applications
Knowing your business is half the job.
The other half is doing something about it.
StarLifter checks the data, builds the view, keeps watch, and prepares the fix. You approve every change.
It can show.
Builds the view you need in minutes, not weeks.
Build me an application to manage at-risk orders.
Show me the orders that will miss their date.
It can watch.
Watches your data and flags what needs attention.
Message me in Slack when a top order is at risk.
Message me in Teams when a supplier turns late.
It can act, safely.
Prepares the change. Nothing is updated until you approve it.
Fix the wrong lead time and send it for my sign-off.
Draft the expedite and hold it until I approve.
All four layers, together
A port delay hits Tuesday morning.
The decision is ready before coffee.
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Before your planner logs in, StarLifter has traced the affected orders and customers, applied your expedite policy and prepared a recommendation. The planner reviews it and approves.
Port delay: decision ready for review Illustrative scenario
Semantics “At-risk order” uses your definition: fewer than 3 days of buffer before the promised date.
Ontology
Delayed containers 14 POs 6 SKUs 212 customer orders 38 top-tier accounts
Context graph Your policy: air-freight for tier-1 accounts, re-promise everyone else. Approved by the planning lead.
Agent skills & applications At-risk view built. Planner notified in Slack or Microsoft Teams. New promise dates drafted for approval.
Waiting for your approval
Get started with the enterprise decision layer today.
See how StarLifter could help your team act sooner.