For a specific segment of its end customers, the client used order forms printed in magazines. Collecting them and then transcribing into a structured format was done manually, with occasional fluctuations in transcription quality.
Streamlining Work with Order Forms

Client CountryCzech Republic
- Client typeSME
- IndustryRetail & E-commerce
- Application areasCustomer Support & Experience, Marketing, Sales & Customer Engagement, Operations & Process Automation
- AI technologiesComputer vision and video analysis, Machine Learning
- Business impactsEmployee Enablement & Productivity, Operational Efficiency & Cost Savings
- Data typesStructured Tabular Data
- Delivery modelsCustom Development
- DeploymentsCloud
- Key capabilitiesRecognition, Classification & Tracking
- Project stagesScaling / Expanded Implementation
Solution Description
Problem description
Solution
We automated the transcription process using Azure AI Document Intelligence. The model is trained on several types of forms used and allows adding more. Scanning, collection, and text recognition have been automated. Everything runs at a preset time.
Main Users of the Solution
customer service
Project timeframe (months)
6
Technologies used
Microsoft Azure AI Document intelligence
Additional services
- AI strategy and roadmap
- Identification and prioritization of suitable use-cases
- Data collection and pre-processing
Use of Personal / Regulated Data
Implementation
Project Owner on the Client's Side
Head of IT / Data / Technology
Participation on the Client's Side
- Business / Product Owner
- Domain / process experts
- Data & ML specialists
- Software & Data Engineering / IT Ops
Form of Supplier Involvement
Joint implementation with the client
Operation and Maintenance
Operational Model
The solution is deployed in Azure and does not require specific maintenance. Regular maintenance is performed by the IT department.
Needed Competencies on the Client's Side
Customer service collects incoming orders and starts the entire process with scanning.
Other Resources or Infrastructure
Azure environment only
Impact and Results
Qualitative Benefits
All manual work associated with text transcription has been eliminated.
Lessons Learned and Recommendations
Key Success Factors
A very good knowledge of the entire manual process was more important than complex construction of the technical solution.
Recommendation for Others
I would recommend focusing more on the assignment and business benefit rather than trying to find an application for some modern technology.

- Companyintecs data
- ContactRadim Hampel
- Emailradim.hampel@intecs.cz
- Websitehttps://www.intecs.cz
- AddressŠumavská 524/31, 602 00 Brno