Artificial Intelligence Powered Document Parsing | Flask | Python|

Business Impact

  • One of the time-consuming activities for any  fintech company is  the data entry process. Manual work can be tedious and lead to document backlogs if not properly handled. To replace this, one of the smart moves is adopting RPA techniques to replace repetitive tasks with automation.
  • According to Gartner report, “Around 80% of finance leaders have implemented or are planning to implement RPA”.
  • We worked with one of the top FinTech firms in Europe in not just automating the invoice process but also fetch key information without any human interferences.
  • Our RPA solution helped client in saving 50% of time and efforts spent on documentation. Also, improved overall efficiency and made resources to focus on their key tasks rather than manual documentation.

Technology Stack

Solution Approach

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Invoice is unstructured data with different templates, initially, they will be converted into text, wherein this text is properly formatted.

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Custom data is prepared, For example, Invoice Number, Invoice date. The Data set is prepared to map these similar fields into the same bucket.

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Built a NER model to extract entities present in the invoice.

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WEB UI is developed where an invoice is dropped, It will return as key-value pair of specific information.

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

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50+

AI & ML
Engineers

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40+

AI & ML
Projects for
reputed Clients

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5 yrs

in AI & ML
Engineering

Awarded as Winner among 1000 contestants at TechSHack Hackathon

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