Scandit
We are changing the way businesses and consumers interact with everyday objects, one mobile scan at a time
Overview
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HQ Location
Switzerland
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Year Founded
2009
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Company Type
Private
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Revenue
$10-100m
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Employees
51 - 200
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Website
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Twitter Handle
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Company Description
Scandit develops software for mobile enterprise apps for barcode scanning, text and objects recognition, and delivering real-time insights through AR.
Scandit is helping business users and consumers to augment the physical world with relevant digital information in real time through barcodes, images, and other visual identifiers captured with smart devices such as smartphones, Wearables, drones, and robots.
Over the years the company has evolved into a world-class team of mobile image processing, cloud-computing, and “Internet of Things” experts from around the globe. It has developed a culture of thought leadership and innovation that perpetually aims to break new ground in the mobile AIDC space. Many of the world’s most innovative and successful companies are already reaping the benefits of Scandit’s next-generation mobile data capture platform.
The company is headquartered in Zurich, Switzerland, and is also represented in San Francisco, Boston, London and Warsaw.
Scandit is helping business users and consumers to augment the physical world with relevant digital information in real time through barcodes, images, and other visual identifiers captured with smart devices such as smartphones, Wearables, drones, and robots.
Over the years the company has evolved into a world-class team of mobile image processing, cloud-computing, and “Internet of Things” experts from around the globe. It has developed a culture of thought leadership and innovation that perpetually aims to break new ground in the mobile AIDC space. Many of the world’s most innovative and successful companies are already reaping the benefits of Scandit’s next-generation mobile data capture platform.
The company is headquartered in Zurich, Switzerland, and is also represented in San Francisco, Boston, London and Warsaw.
IoT Solutions
Enterprise-Grade Scanning on Smart Devices
Scandit mobile computer vision software brings unrivaled scanning performance to any app on any smart device, turning it into a powerful data-capture tool.
Our patented scanning technology can be integrated into virtually any app running on a camera-equipped smart device. The software is designed for enterprise-grade use with market-leading scan speeds and accuracy and is scalable to support large implementations.
Barcode Scanning
Combining high-performance barcode scanning software with a mobile device adds a new level of speed and efficiency to workflows across the many industries that use barcodes.
Text Recognition (OCR)
Optical character recognition (OCR) added to a smart device instantly reads alphanumeric text on items such as passports & ID cards, VIN codes in automotive, LOT or REF codes in healthcare or manufacturing.
Augmented Reality (AR) Overlay
Information is displayed on the device screen with an AR-overlay. The data source can be anything from product or delivery details to flight information, stock counts or patient verification.
Scandit mobile computer vision software brings unrivaled scanning performance to any app on any smart device, turning it into a powerful data-capture tool.
Our patented scanning technology can be integrated into virtually any app running on a camera-equipped smart device. The software is designed for enterprise-grade use with market-leading scan speeds and accuracy and is scalable to support large implementations.
Barcode Scanning
Combining high-performance barcode scanning software with a mobile device adds a new level of speed and efficiency to workflows across the many industries that use barcodes.
Text Recognition (OCR)
Optical character recognition (OCR) added to a smart device instantly reads alphanumeric text on items such as passports & ID cards, VIN codes in automotive, LOT or REF codes in healthcare or manufacturing.
Augmented Reality (AR) Overlay
Information is displayed on the device screen with an AR-overlay. The data source can be anything from product or delivery details to flight information, stock counts or patient verification.
IoT Snapshot
Scandit is a provider of Industrial IoT application infrastructure and middleware, analytics and modeling, and sensors technologies, and also active in the aerospace, electronics, healthcare and hospitals, and retail industries.
Technologies
Functional Areas
Industries
Services
Technology Stack
Scandit’s Technology Stack maps Scandit’s participation in the application infrastructure and middleware, analytics and modeling, and sensors IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
Case Study
Enhancing Delivery Efficiency with Advanced Smartphone Scanning: A Case Study of La Poste
La Poste, France’s largest mail delivery provider, was facing challenges with its delivery process. The company, which employs over 90,000 mail and parcel carriers, is responsible for delivering 23 billion items annually, making operational efficiency a top priority. The carriers relied on low-end smartphones with an Android application integrated with open-source barcode scanning software for proof of delivery, track and trace, and other workflows. However, the scanning speed and precision were not up to the mark, leading to delivery errors. Misdelivered mail or parcels not only cost the company time and money but also affected its reputation. La Poste wanted to compare the performance of smartphones using open source scanning against those using proprietary software across a wide variety of devices, under a range of challenging real-world conditions.
Case Study
Supercharging App Ordering with 5x Faster Scanning: A Case Study on Elektro-Material
Elektro-Material AG, a leading supplier of electrical components to Switzerland’s construction industry, faced a significant challenge with their EM order app. The app, which was a significant source of business revenue, had an open source scanning solution that customers used to scan barcodes from a catalogue or print barcode labels for products that did not have barcodes. However, customers found the scanning process slow, often taking several seconds to scan a single barcode. This delay resulted in a poor user experience and led customers to prefer reordering over the phone or at an Elektro-Material branch, especially for large orders. Additionally, some products only had serial numbers, which could not be captured by the open source scanning component of the EM app. These performance issues negatively impacted the customer’s purchase experience and reduced the number of orders originating through the app. Elektro-Material wanted to improve the app’s performance and increase customer stickiness.
Case Study
Smartphone Scanning Revolutionizes Retail Operations at Colruyt
Colruyt Group, Belgium's largest retail conglomerate, was on a mission to optimize its retail operations and enhance customer experiences. As part of its digital transformation program, the company aimed to streamline store processes, improve co-worker and customer communications, and drive innovation. The group decided to replace shared dedicated scanning devices with personal consumer devices that would be easy for store staff to operate and always stay connected. They sought a solution that offered superior software-based barcode scanning, shared their vision for a platform to support future innovation, and was easy to integrate with its suite of apps, supported diverse frameworks and mobile architectures.
Case Study
Simplifying Order Entry with Smart Device Scanning: A Case Study on Cardinal Health
Cardinal Health, a leading healthcare services company, was facing challenges with their product ordering process for pharmacy customers. The company, which specializes in the wholesale distribution of pharmaceuticals and medical products, was using embedded laser or LED scan engine devices to facilitate the pharmacy product ordering process. However, these devices had scan accuracy rates of around 70 percent, leading to potential errors and increased costs. Cardinal Health attempted to address this issue by leasing purpose-built scanner hardware to their customers, but found this solution to be lacking in speed and overall scan performance. The company then decided to test a more cost-efficient option with consumer device apps.
Case Study
Optimizing Delivery Workflows with MatrixScan-AR and OCR Integration
NACEX, a leading courier service operating in Spain, Portugal, and Andorra, was facing challenges in speeding up parcel deliveries from distribution centers to the last mile. The company, which handles special requirement deliveries such as pharmaceuticals, relied on franchisees with over 1,500 vehicles to sort and deliver parcels. The standard receiving process involved using a dedicated device to scan the barcode on every parcel for verification and sorting. The company wanted to improve scan speeds and the type of information they could record for faster delivery and improved customer service. With last mile drivers scanning over five million barcodes every month, superfast scanning was critical. Additionally, they needed to maintain proof of delivery records for each delivery, which included photographing the parcel and the recipient’s signature, or scanning it. Drivers delivering pharmaceutical items had to abide by stringent temperature requirements and delivery times, and needed to be alerted in advance of any updates.
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