Automotive vertical

Arbitrate workshop load, parts availability, and scarce skills before delays slip.

DMS, workshop bookings, aftersales history, parts availability, skills, absences, and cost. Praedixa turns workshop load into clearer decisions on delay, backlog, parts, coverage, and protected revenue.

Frame the first decision scopeView the offer
Why now

Aftersales demand remains structural, while critical skills are harder and harder to cover.

The challenge is not just filling the workshop. It is absorbing aftersales demand, protecting service quality, and controlling delays despite heavy pressure on mechanics, bodywork specialists, and qualified technicians.

The business question

How do you absorb aftersales demand when scarce skills and parts availability become the real bottleneck?

In automotive, staffing is not just a planning problem. It is a workshop-hours, backlog, critical-skills, parts-availability, and protected-revenue problem.

Scarce critical skills

Mechanics, bodywork specialists, and senior technicians are hard to hire while structural aftersales demand remains high.

Backlog and appointment delay

When capacity is missing, appointment lead times grow, the customer experience deteriorates, and aftersales revenue is delayed or lost.

Complex operational trade-offs

Overtime, reallocation, external reinforcement, replanning, and parts availability must be arbitrated together instead of in silos.

Value proposition

Praedixa helps aftersales leaders arbitrate load, skills, parts, delay, and revenue.

Praedixa connects workshop data, skills, absences, parts, and cost to forecast load, compare action options, and document the ones that best protect customer delay, workshop absorption, parts availability, and aftersales revenue.

Governed federation on top of the stack

Praedixa sits above ERP, scheduling, BI, and spreadsheets to connect the systems that matter to a decision, without a replacement project.

Decision log + first action

The signal does not stay in a dashboard: the choice is compared, logged, and the first useful move is triggered inside the existing tools.

Decision-by-decision monthly proof

Value is reviewed through a baseline / recommended / actual frame with explicit assumptions and a format that works for Ops / Finance reviews.

Praedixa loop

A decision loop built for workshops, parts, and aftersales operations.

Praedixa keeps the same product logic everywhere, but translates it here into appointments, backlog, skills, capacity, and workshop economics.

01

Bring the data together

DMS, bookings, aftersales history, parts availability, skills, absences, and cost are unified into one workshop baseline.

02

Project load, skills, and parts bottlenecks

Praedixa projects required hours by workshop, time slot, and critical skill cluster, plus the parts bottlenecks likely to extend delay.

03

Calculate the best decision

The platform compares overtime, reallocation, external reinforcement, and replanning.

04

Trigger the first action

Workshop managers start from an immediate recommended action already tied to expected impact.

05

Prove ROI

Praedixa tracks workshop delay, covered load, absorption, overtime, and protected revenue.

Predictable KPIs

The workshop indicators Praedixa can forecast before delays start drifting

  • Appointment lead time and open workshop load by day, bay, or intervention type
  • Workshop backlog and required hours by intervention type
  • Required hours by workshop, time slot, and critical skill cluster
  • Parts fill rate, backorder risk, and supply lead time by critical reference
  • Sold versus produced hours, technician efficiency, bay occupancy, and absorption
  • Risk of delay from missing parts, no-shows, comeback work, or skill shortages
  • Expected overtime, external reinforcement, and replanning volume
  • Protected aftersales revenue, exposed CSI, and aftersales churn risk under each coverage choice
Optimizable decisions

The workshop trade-offs Praedixa can help leaders optimize

  • Allocate technicians by bay, time slot, and critical skill
  • Open extra appointment slots or replan lower-priority bookings
  • Choose between overtime, reallocation, external reinforcement, or subcontracting
  • Move workload across workshops or dealerships when one site saturates
  • Prioritize the highest-value or highest-urgency jobs first
  • Trigger parts escalation, inter-site transfers, or procurement action on predicted bottlenecks
  • Decide when to train, cross-skill, or protect scarce capabilities
  • Choose which jobs to protect first to preserve customer delay, CSI, and aftersales retention
Move from examples to your own data

See how Praedixa would help your most exposed workshops.

We start from bookings, skills, parts, and cost to show where load is likely to break customer delay and which decision best protects the workshop.

Frame the first decision scopeView the offer

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