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AMAG
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How the Market Leader Makes Its Customers >20% Happier with aspaara

With the introduction of the AI co-pilot aspaara®, AMAG’s customer service optimizes job prioritization and systematically achieves higher on-time delivery.

+20%

higher
On-Time Delivery

+5%

more Cars
Completed
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The Customer:
AMAG Group

AMAG Automobil und Motoren AG is the Swiss market leader in car sales and an authorized dealer for Volkswagen, Audi, SEAT, ŠKODA, and VW Commercial Vehicles. It operates a dense network of dealerships and service centers throughout Switzerland. With sales of CHF 5 billion and a market share of over 30%, AMAG places a strong emphasis on sustainability. Its customer service enjoys an excellent reputation.

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“Planning with aspaara is brilliant. I can rely completely on the fact that deadlines will be met.”

Peter Huser – Service Manager Body & Paint, Bad Schinznach

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Challenge

Despite its success in customer service, AMAG faced a challenging situation:

  • Difficulty meeting agreed-upon pick-up times.

  • Service advisors needed a precise, up-to-date overview of each workshop’s utilization.

  • Without that overview, customer appointments couldn’t be reliably scheduled, risking disappointment already at the booking stage.

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Solution
  • Introduction of aspaara® to provide a dynamic, real-time capacity overview across all locations.

  • Supports efficient planning of new jobs based on current workshop load.

  • Detects short-term changes and gives early warning if deadlines cannot be met.

  • Helps service advisors set priorities and adjust appointments with customers.

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Impact
  • Improved on-time delivery by +20%.

  • Better scheduling based on actual workshop capacity.

  • Service advisors can guarantee realistic, timely handovers.

  • Higher customer satisfaction through improved communication and transparency.

>20%

On-Time
Delivery

aspaara® was rolled out as the central Bodyshop Management System (BMS) in over 35 AMAG workshops across Switzerland.

Now, AMAG’s customer service optimizes job prioritization with AI and systematically achieves higher on-time delivery.

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