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15. April 2024
2 Minutes

Arineo at Quanos Connect 2024

Meet our Customer Experience experts at Quanos Connect on 14th and 15th May in Nuremberg and swap best practices in digital B2B sales!

Over 600 participants from the mechanical and plant engineering sectors, 65 expert presentations, 46 speakers, 34 partners – and right in the middle of it all: our Customer Experience experts Patrick Hey and Wolfgang Posch. They share their knowledge on creating B2B customer portals with SAP integration and connecting a 3D spare parts store based on Quanos SIS.one. They’ll also discuss customer projects and, of course, answer all your questions about Customer Experience with SAP. Visit them at booth 21 and make sure to attend their presentation on May 14 at 2:10 p.m. in the St. Petersburg room!

Presentation | May 14, 2024 | 14:10-14:40 | St. Petersburg room

B2B customer center: SAP-integrated customer portal for products, services, and spare parts processes

In their presentation, our experts Patrick Hey and Wolfgang Posch explain why a good customer experience is so important, from the initial contact to the service request. They demonstrate how you can showcase your products, improve service and spare parts processes through self-services with an SAP-integrated customer portal, and also reduce your employees’ workload. Don’t miss it!

Register by May 8th for Quanos Connect and discover how you can optimize your customer service and gain competitive advantages. We look forward to seeing you at booth 21 during Quanos Connect 2024!

No time to attend Quanos Connect?

Then find more information here about the B2B customer portal.

Webinar on demand

B2B Customer Portal

Our experts will demonstrate how to seamlessly integrate and optimize different backend systems with the Quanos solution.

Further information

With a spare parts store based on the SAP Customer Experience portfolio, you can strengthen your customer loyalty and reduce your employees’ workload.

Learn more

Whether it’s searching for spare parts in 3D plans or using AI for spare parts recognition, find out how to minimize incorrect orders for spare parts.

Learn more