Key takeaways
- Orders are confirmed in email and calls, but capacity sits in a planning sheet and downtime sits in chat.
- GeniOS matches each promised quantity and date to the real line plan, including machines that are down.
- The production head gets one piece of intelligence with the order at risk, the reason and the next step.
- Buyer emails can be drafted by an agent, and nothing goes out until a person approves.
The problem
A sales manager at a components plant gets a call from a buyer on Friday evening. The buyer needs 8,000 housings for dispatch on 20 November. The plant has made this part many times. The sales manager says yes, and confirms it by email from his phone. It is a good order, and saying no would hand it to a competitor.
What he did not see: press line 2, the only line with the right tonnage, is fully booked from 12 to 19 November with another customer's order. On Monday morning the maintenance supervisor posts in the shop floor chat group that press 4, the backup, will be down from Monday to Wednesday for a mould repair. And the raw material for the new order needs four days to arrive.
Nobody connects the email, the plan and the chat until the production planning meeting a week later. By then the only options are overtime, a split dispatch the buyer did not agree to, or a late delivery. Each of those costs money, and the late delivery costs the relationship.
Why it slips today
Most mid-sized manufacturers do not lack a plan. They lack a link between the plan and the promises made outside it.
The production plan is usually a spreadsheet, or a screen in your ERP, maintained by one planner. Sales does not open it before saying yes, because the buyer is on the phone. Machine downtime is reported in a chat group, because that is where the shop floor talks. Material lead times sit with purchasing. The planner sees the clash only when someone enters the new order, and that can be days later.
| Where it lives | Who sees it | How it slips |
|---|---|---|
| Order confirmed by email | Sales and the buyer | Entered into the plan days later |
| Line plan in a sheet or ERP screen | The planner | Never checked before the yes |
| Machine downtime in chat | The shop floor group | Never reaches the plan or sales |
| Material lead time | Purchasing | Known only when the order is placed |
The solution
GeniOS reads email, calendar, chat, documents and the business tools you already use, read-only to start. It keeps each promised order tied to the line plan and surfaces:
- Orders that do not fit. A confirmed quantity and date that the line plan cannot carry, given what is already booked.
- Downtime that breaks a promise. A machine or mould out of service during a window that a customer order depends on.
- Material that arrives too late. An order whose raw material lead time leaves no room before the dispatch date.
- Dates confirmed and kept. An order closed only on proof, such as the dispatch note or the buyer's written agreement to a new date.
Each piece names the order, the clash, one owner and a date. When the same line or machine keeps causing clashes, Operational Bottleneck Detection shows the pattern.
See it on the whiteboard
The board below follows one order from a Friday email to a plan the buyer has agreed in writing.
The 20 Nov order does not fit the plan
How: run 3,000 units on line 1's night shift and agree a split dispatch by Wednesday.
- Your tools
The order email, the plan sheet and the maintenance chat each hold one piece. GeniOS reads them where they are.
- GeniOS thinks
It sees the order cannot fit on line 2, and the backup press is down that week.
- Intelligence
The Production Head gets one item: move part of the order and agree a split dispatch by Wednesday.
- Delegated
He approves a Reply Drafter's buyer email after one edit. Nothing is sent before that.
- Goal moves
The buyer agrees in writing, GeniOS sees the proof and moves the on-time dispatch goal.
How GeniOS thinks and plans
GeniOS works through the same four questions an experienced planner would. What happened: sales confirmed 8,000 units for 20 November. What is the pattern: the order was promised before anyone checked the plan, the main line is already booked, and the backup press is down for three days. What is the impact: a $52,000 order from a buyer who places one like it every quarter. Who owns it: the Production Head, because only he can move work between lines and shifts.
It checks this against the plant's goals, which it forms from your own plans, review decks and management meetings. If on-time dispatch is a goal this quarter, a clash on a repeat buyer ranks above a small internal order. GeniOS then picks one next step instead of listing every option. Line 1 has spare night shift hours next week and can run the part with a slower cycle. So the step is to run 3,000 units there, dispatch 5,000 on the 20th and 3,000 on the 24th, and get the buyer's agreement by Wednesday, before material is ordered.
How it delegates and gets it done
The owner answers with Delegate, Done, Later or Not relevant. The Production Head can delegate the shift change to his line supervisor and the buyer email to a Reply Drafter agent that writes from the order, the plan and the buyer's own words. He reads the draft and approves it. Nothing reaches the buyer until a person says yes.
The item closes only on proof: the buyer's written agreement, the updated plan or the dispatch note. If the buyer does not reply, the item comes back before material has to be ordered. When it closes, the on-time dispatch goal moves, and GeniOS learns. If split dispatches are usually accepted by this buyer, it can suggest one sooner next time. Sales also sees the result, so the next yes on a Friday evening comes with a capacity check. For how goals and daily work stay linked, see Goal Execution Monitoring.
How it reaches you
The intelligence arrives on its own in the GeniOS Mac app, from the menu bar, and in the web dashboard. The Production Head does not have to scroll the shop floor chat, compare the order book to the plan by hand or wait for the weekly planning meeting.
What the team stops doing: chasing sales for orders that were confirmed but not entered, reading utilisation reports after the week has ended, and deciding each morning which of 40 open orders to check. The production decisions stay with the people who run the floor.
A worked example
The company, names, dates and numbers in this example are made up to explain the idea. It describes a 180-person maker of moulded plastic parts for appliance brands, based in Pune.
On Friday 7 November, Kiran in Sales confirms by email an order for 8,000 washing machine housings at about $6.50 each, $52,000 in total, for dispatch on 20 November. The buyer orders every quarter and has a new model launch. Press line 2 is booked from 12 to 19 November with another order. On Monday, Ravi, the maintenance supervisor, writes in the plant chat group that press 4 will be down until Wednesday for a mould repair.
On Monday at 10:00, Suresh, the Production Head, receives one piece of intelligence. It says the 20 November order cannot be made on line 2 in time, press 4 is down, and the resin for the order needs four days to arrive. It suggests running 3,000 units on line 1's night shift, dispatching 5,000 on the 20th and 3,000 on the 24th, and agreeing this with the buyer by Wednesday.
Suresh checks the night shift with his supervisor, who confirms the crew. He delegates the buyer email to a Reply Drafter, changes the second dispatch date to the 23rd and approves it. The buyer replies the same afternoon that 5,000 units are enough for the launch build. GeniOS sees the reply, closes the item and moves the on-time dispatch goal. Purchasing orders the resin that day, not a week later.
How to measure it
Track these each month.
- Orders confirmed with a capacity check. The share of new orders matched to the line plan before the buyer is given a date.
- Hours from order to plan clash found. How long it takes to spot that a promised order does not fit.
- On-time, in-full dispatch. The goal the work rolls up to, measured the way you already measure it.
- Dates reset with the buyer's agreement. Late orders where the buyer agreed a new date in writing before it slipped.
Where it applies
These are application areas where this use case can apply. It fits make-to-order and mixed plants where sales confirms dates outside the planning system: moulding, machining, fabrication, auto components and packaging. Our design partner work so far is in manufacturing, described in the Vaultex case study.
- Domains: Operations, Sales, Procurement
- Industries: Manufacturing, Automotive & Mobility
- Roles: Executives, Managers
Questions about order-to-capacity matching
Do we need a planning system for this to work?
No. Many plants plan in a spreadsheet, and GeniOS reads it as it is. If you use your ERP for planning, it reads that too, read-only to start.
Will GeniOS change our production plan?
No. It shows the clash and suggests one next step, and the Production Head decides. Any change to the plan is made by your team in your own tools.
How does it know a machine is down?
It reads the places downtime is reported, such as the maintenance chat group, emails and logs. Each piece of intelligence links to the message it came from, so the owner can check it.
What if sales has to say yes on the call?
They still can. GeniOS checks the promise against the plan soon after it is made, so the clash is found in hours instead of at next week's meeting.
Status
Available This use case is in use today in GeniOS. We start read-only, on a small set of sources you choose, and show you how it works on your company's own data. Book a call and tell us your stack.