See your machines after they have left the yard.
Tracking the machines you deliver brings you three things: you back the warranty file with the history from the customer, you propose the service contract on its real services, and you sell parts before the machine stops.
The machines at your customers start bringing you information and money.
Delivered machines report on their own
Every machine delivered sends in its operating hours, its cycles and what happened to it at the customer. You see on a map and per customer what condition they are in.
A documented warranty file
The operating history and the jobs done show whether the machine was used and maintained the way you asked.
Service contracts built on data
You make the proposal with the machine's real services and the estimated cost of the work. It is a conversation with figures, not a generic offer.
A service network that pulls together
Your service partners get your procedures and report the work in the same system, so the job comes out just as well wherever it is done.
What changes, for each person on the team.
Service director
With the platform
Knows what condition the machines at customers are in and sends someone out before the failure.
Warranty manager
With the platform
Has the machine's full history at the moment the claim comes in.
Spare parts sales
With the platform
Offers the parts before the service is due, based on the estimated consumption.
Product engineering
With the platform
Sees where things break, by series and under the real conditions at the customer.
| Role | With the platform |
|---|---|
| Service director | Knows what condition the machines at customers are in and sends someone out before the failure. |
| Warranty manager | Has the machine's full history at the moment the claim comes in. |
| Spare parts sales | Offers the parts before the service is due, based on the estimated consumption. |
| Product engineering | Sees where things break, by series and under the real conditions at the customer. |
The machines tell you themselves which parts they will ask for.
On machines out at the customer, prediction becomes commercial information: which part will be needed, at which customer, and roughly when.
Parts demand, known in advance
You see per customer and per period which parts will be asked for, so you sell them to plan, not after the machine has stopped.
A documented warranty
You attach to the file the history from the customer and the departures from what you recommended, with the data that backs them.
A contract on the machine's real services
The proposal starts from the jobs the model estimates for that customer's machine, not from a general scale.
Calculate what your current situation costs.
Each of the three situations has its own calculator, with the assumptions in plain sight and open to change. At the end you see how much you lose in a year, what the platform costs in each of the three payment models, and how long it takes to pay for itself.