We will work closely with you to support your strategic business objectives through digital transformation.
Adding Scandit’s computer vision technology to your mobile platform will provide innovation today and into the future. Our solutions consultants provide technical and best practice expertise to help you navigate these key steps:
- Identify the business goals and/or pain points
What needs to change and why?
- Select a use case that can enable this change
E.g. PUDO, ID verification, proof of delivery, special parcel identification etc.
- Requirements gathering
Specify the solution and business case, and set KPIs (key performance indicators).
- Deliver solution
Configure, build and user test.
- Field test
Monitor in-live scenario and track analytics.
- Validate business case
Assess KPI results and learnings, and adjust the solution and processes as necessary.
Manage roll-out plan and assess KPI results and ROI.
- Build out
Develop business case for additional use case solutions.
We can advise you on the use cases best suited to meet your needs and goals, supported by business cases and KPIs. When integrating our technology into your own tailored apps using our SDKs (software development kits), the possibilities are limited only by your imagination. We also offer solutions to add scanning to existing enterprise apps where no integration is needed. Developers tell us they appreciate our well-structured and easy-to-use documentation.
Scandit technology for Post, Parcel and Express
Scandit’s mobile solutions are used by some of the world’s most prestigious brands. See how customers have utilized our innovative software.
From the shop floor to the back of house, turbo-charge your employee efficiency and delight your customers.
Check out Scandit’s video showcases to see the performance of our mobile solutions.
Our demo apps feature our latest mobile computer vision technology to provide a great hands-on demo.
Get in touch with us today
Scandit’s award-winning mobile computer vision software enables barcode scanning, text and object recognition for enterprise apps and delivers real-time insights through AR overlay.
Publication last updated: 22 July 2020