Delivery Risk Assessment
$750–$1,500one time
Where delivery risk comes from in your operation, from a sample of your orders and a working session with your team.
- Order and promise-date review
- Top causes of late orders, ranked
- A 30-day pilot plan
Neuclon Delivery Intelligence
Neuclon helps make-to-order manufacturers improve on-time delivery by identifying material shortages, production bottlenecks and customer order risks before they cause delays, using AI agents that work with your existing business systems.
Neuclon 201: Every order on time. It picks up where Neuclon 101 leaves off.
The morning meeting, answered
Most plants answer them in a meeting, from spreadsheets that were out of date when they were printed. Neuclon answers them from your own orders, schedule and stock, and keeps answering them all day.
Every open order is checked against its promised date on the live schedule, each morning and whenever something changes. You see the ones that will slip days before they do, ranked by how likely they are to be late, what they are worth and how soon they are due.
Each risk is traced to its cause, with the evidence: a component short in stores or late from a supplier, a work center loaded past the due date or down, work not released in time, an outside vendor, a quality hold.
For each order, the action that protects the date: expedite the material, move the work up the schedule, release it now, chase the vendor. Material changes in the ERP and new dates for customers wait for a person to approve them.
Every risk has an owner, by cause: the buyer for material, the supervisor for capacity, the scheduler for sequence. You see who acted and who hasn’t, without a meeting.
What is causing the risk
Agents do the legwork, people decide
Material changes in the ERP and commitments to customers always wait for a person to approve them.
Where to start
Delivery is where the money and the customer are. Once the orders at risk are visible, the same data shows where scheduling, material, quality and maintenance cost you dates.
| Priority | Opportunity | When |
|---|---|---|
| 1 | On-time delivery and order visibilityThe fastest proof: one list of orders at risk, the cause and the owner, from your own data. | Start here |
| 2 | Scheduling and capacitySequence and load the bottlenecks so promised dates hold. | Next |
| 3 | Material shortages and supplier follow-upShortages found and chased before they stop the line. | Next |
| 4 | Quality and scrapHolds, rework and scrap that eat into the schedule. | Then |
| 5 | Predictive maintenanceMachines that would stop the orders that matter most. | Then |
| 6 | EnergyCost per order once the flow is under control. | Later |
The pilot
No integration project to begin. Export open orders, routings, stock and purchase orders from your ERP, and Neuclon shows the orders at risk on your own data. We agree the baseline first and measure three leading indicators against it.
Ways to start
$750–$1,500one time
Where delivery risk comes from in your operation, from a sample of your orders and a working session with your team.
$3,000–$5,000one time
Delivery Intelligence on your own orders, from CSV exports of your ERP, with your planners and supervisors.
$500–$1,500per month
Connected to your ERP and schedule, with the agents watching every order and the model learning from your own history.
Questions
An order execution and delivery-risk workbench for make-to-order manufacturers. It finds the customer orders at risk of being late, shows why (materials, capacity, scheduling or something else), recommends the action that prevents the delay and tracks who owns it, using AI agents that work alongside your ERP.
No. Neuclon works with the systems you already run. A pilot can start from CSV exports of open orders, routings, stock and purchase orders; a subscription connects to the ERP and schedule directly.
They watch the orders, find shortages, follow up with suppliers and recommend schedule changes. Changes to material in the ERP and new dates for customers always wait for a person to approve them.
Within the first weeks of a pilot you have a daily list of orders at risk with their causes and owners. We measure the share of orders with a reliable promise date, risks found early and time to resolve exceptions against your baseline.
Make-to-order and engineer-to-order manufacturers whose on-time delivery is below where customers want it, and whose planners, supervisors and buyers spend hours each day in meetings and spreadsheets to keep orders moving.
Five questions, about five minutes
Answer five questions about how your orders move. We send back a short read of where the risk comes from and what a 30-day pilot would target, reviewed by a person at Neuclon.