Scandit > Case Studies > Improving App Ordering with Scandit's Super-Fast Scanning Solution

Improving App Ordering with Scandit's Super-Fast Scanning Solution

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 Improving App Ordering with Scandit's Super-Fast Scanning Solution - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Virtual & Augmented Reality Software
  • Wearables - Augmented Reality Glasses, Headsets & Controllers
Applicable Industries
  • Electrical Grids
  • Electronics
Applicable Functions
  • Procurement
  • Sales & Marketing
Use Cases
  • Augmented Reality
  • Mixed Reality
The Challenge
Elektro-Material wanted to improve the scanning performance of their EM order app to optimize user experiences. The app had an open source scanning solution that was slow and resulted in delays in fulfilling orders, leading to a poor user experience and reduced app usage.
The Customer

Elektro-Material

About The Customer
Elektro-Material is a leading supplier of electrical components in Switzerland, serving a wide range of customers in the construction industry. They offer a comprehensive catalog of 250,000 electrical goods and have digital channels like the EM webshop and the EM order app for customers to place orders.
The Solution
Elektro-Material switched to Scandit's scanning solution, integrating their barcode scanner SDK with the EM app. Scandit's technology provided instantaneous scanning response and compatibility with over 20,000 smartphone models. Additional features like OCR text recognition, MatrixScan, and augmented reality overlays were also added to enhance the app's functionality.
Quantitative Benefit
  • Scandit's scanning performance was approximately five times faster than the app's original open source scanning software. The app received over 95,000 scans in three months, compared to 112,000 scans in the previous year. The improved scanning performance and additional features like MatrixScan and augmented reality overlays enhanced the customer's user experience and increased customer stickiness.
  • Engagement with the EM app surpassed 95,000 scans within three months.

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