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Neuclon Delivery Intelligence

Every order on time.Find the delay before it happens.

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.

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Neuclon 201: Every order on time. It picks up where Neuclon 101 leaves off.

The morning meeting, answered

Four questions every plant asks before 8 a.m.

Most plants answer them in a meeting, from spreadsheets that were out of date when they were printed.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.

  1. Which customer orders are at risk of being late?

    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.

  2. What is causing the risk?

    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.

  3. What actions will prevent the delay?

    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.

  4. Who is responsible, and have they acted?

    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.

On-time delivery82%baseline
Orders at risk24require action
Target95%on-time delivery

What is causing the risk

  • Late material arrivals46%
  • Capacity constraints33%
  • Other execution issues21%
Illustrative figures for a make-to-order plant, not a customer result.

Agents do the legwork, people decide

The watching, chasing and checking, done for you.

  • Monitor ordersEvery open order, against its promised date, all day.
  • Find shortagesComponents short in stores or late from suppliers, before the work starts.
  • Follow up with suppliersThe open lines that matter for this week’s orders, chased first.
  • Recommend schedule changesWhat to move, release or expedite, with the reason.

Material changes in the ERP and commitments to customers always wait for a person to approve them.

Where to start

Start with on-time delivery. The rest builds on it.

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.

PriorityOpportunityWhen
1On-time delivery and order visibilityThe fastest proof: one list of orders at risk, the cause and the owner, from your own data.Start here
2Scheduling and capacitySequence and load the bottlenecks so promised dates hold.Next
3Material shortages and supplier follow-upShortages found and chased before they stop the line.Next
4Quality and scrapHolds, rework and scrap that eat into the schedule.Then
5Predictive maintenanceMachines that would stop the orders that matter most.Then
6EnergyCost per order once the flow is under control.Later

The pilot

Thirty days, from the CSV exports you already have.

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.

  • Orders with a reliable promise dateThe share of open orders whose promised date the schedule can actually meet.
  • Delivery risks found earlyRisks caught with enough time to act, instead of on the day.
  • Time to resolve an exceptionFrom the moment a risk is found to the action that clears it.

Ways to start

Prove it on your own orders first.

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

Ongoing Subscription

$500–$1,500per month

Connected to your ERP and schedule, with the agents watching every order and the model learning from your own history.

  • Live connection to your systems
  • Agents and approvals
  • Monthly on-time delivery review
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Questions

Delivery Intelligence, answered.

What is Neuclon Delivery Intelligence?

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.

Do we have to replace our ERP or MES?

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.

What do the AI agents do on their own?

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.

How quickly can we see results?

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.

Who is it for?

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

Where is your delivery risk coming from?

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.