The AI traceability that follows every vehicle, bay by bay
Workshops · DEALERS

The AI traceability that follows every vehicle, bay by bay

Lyna Dealers combines RFID and artificial intelligence to follow every vehicle from intake to delivery: which technician, which bay, and at what time. Make better use of your bays, service more cars, and recognize each technician's real work. It connects to your DMS and amplifies it with the physical shop-floor traceability it can't see today.

More cars serviced, bays put to work, full traceability, and recognition for technicians.
All solutions

38

Vehicles serviced today

the pulse of the shop

88%

Operational efficiency

higher is better

82%

% in productive areas

time where value is created

2

Underused bays

opportunity cost $9.6k

The platform

Your shop, live in the platform

The DEALERS module: every vehicle tracked intake to delivery, every bay used. It complements your DMS.

The blind spot
no signal
Intake
V·??
Diagnosis
V·??
V·??
Repair
V·??
V·??
Delivery
V·??
Time per stageno data

Times by hand · bays by eye · deliveries guessed

The problem

A workshop with no traceability leaves money in every bay

Without automatic data, no one knows for sure how many cars are serviced per day, which bays are working and which sit idle, or where each vehicle gets stuck between diagnosis and delivery. Times are estimated by hand, delivery promises become guesswork, and the real work of your best technicians gets lost in paperwork. The result is wasted capacity, waiting customers, and decisions based on yesterday's data.

Capabilities

Capabilities that transform your workshop

End-to-end vehicle traceability

Follow every car through its stages (Intake, Diagnosis, Repair, Delivery) with the duration of each step and the technician, bay, and time it was serviced.

Turnover by bay

See at a glance which bays are working and which sit idle (Bay 1..N), so you can rebalance the load and use all your installed capacity.

Turnover by service area

Compare the load across service areas to balance flow, spot bottlenecks, and plan the day better.

Real hours per technician

A feed of each technician's effective hours by area, to recognize the real work of those who contribute most, with no exposed names and generic labels (Technician A).

Bay occupancy heatmap

See when your bays fill up or empty out, and adjust shifts and appointments to service more cars with the same infrastructure.

Connects with your DMS

Lyna Dealers complements the dealership's DMS: it adds the physical shop-floor traceability the DMS can't see and feeds back real operational data, with no double entry.

The outcome

More cars serviced, bays put to work, full traceability, and recognition for technicians.

Stop operating blind: monitor, understand and decide in real time.

More cars servicedBays put to workRecognize your technicians
The AI traceability that follows every vehicle, bay by bay

88%

Operation efficiency · trending up

Process

How we work

01

Workshop assessment

We map your bay layout, service areas, and workflow to size the solution and the expected return.

02

RFID identification and infrastructure

We place read points at intake, bays, and delivery so every vehicle is tracked automatically, with no manual entries.

03

Operation rules

We configure stages, areas, time thresholds, and alerts to match how your shop actually works.

04

DMS integration and training

We connect to your DMS and train advisors and technicians so the platform runs from day one.

Use cases

Where it has the greatest impact

Top impact

Automotive dealership workshop

Service and maintenance with full traceability of every vehicle and bay control to service more cars per day.

Multi-location group

Efficiency benchmarking across workshops, bays, and shifts to replicate best practices across the network.

Body and paint shop

Long, multi-stage processes where knowing where each car is and how long it's been there prevents rework and delays.

Express service center

High turnover where every idle bay costs: the system shows real capacity and the opportunity cost of what goes unused.

FAQ

Frequently asked questions

It's automatically following every vehicle inside the workshop, from intake to delivery, logging stage, duration, bay, technician, and time. On top of that data, intelligent layers reveal which bays are underused, where cars get stuck, and how much real capacity you have, so you can service more vehicles with the same infrastructure.

No. It complements and amplifies the dealership's DMS. The DMS handles work orders, billing, and parts; Lyna Dealers adds the physical shop-floor traceability (which bay, which technician, how much real time) that the DMS can't see, and feeds real operational data back to it with no double entry.

With RFID read points at intake, the bays, and delivery, every vehicle is identified automatically as it passes each stage. There are no forms to fill in: the system records duration, bay, technician, and time on its own.

Yes. The goal is to recognize real work, not to surveil. Dashboards use generic labels (Technician A, Bay 1) and information is handled with strict access controls; real names are reserved for authorized internal use only.

A typical implementation takes 4 to 8 weeks depending on the number of bays, service areas, and integrations. It includes assessment, read infrastructure, configuration, and integration with your DMS.

LYNAI

Take your workshop to the next level

Request a free assessment and find out how many more cars you can service by making the most of every bay and every technician.

Take the first step

Turn your operation into decisions, in real time.

Book a demo and we'll show you what Lyna can do, using your own operation.

  • Demo with your own operation
  • No commitment
  • Fast response

We are LYNA

We are a Mexican industrial technology company that transforms physical operations into strategic intelligence. We integrate IIoT sensors, RFID systems, cloud analytics, and artificial intelligence to digitize, automate, and optimize industrial processes in Mexico.