Invoice Automation for Banking & Financial Services

Technology Stack

Problem Statement

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Manual Invoice Processing Struggles: The client faced inefficiencies and errors due to manual handling of invoices, impacting productivity and accuracy.

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Inconsistent Invoice Templates: Dealing with diverse invoice formats created challenges in extracting structured information, affecting data analysis and reporting.

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Slow Payment Processing: Manual invoice entry caused workflow bottlenecks, leading to delays in payment processing and potential cash flow issues.

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Compliance Risks: The client needed a solution to detect errors and ensure regulatory compliance in invoice data, reducing the risk of penalties.

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Scalability Concerns: Growing invoice volumes posed challenges for manual processing, necessitating an automated solution for streamlined operations and future scalability.

Solution Overview

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OptiSol collaborated with a financial startup to develop an innovative invoice automation solution, streamlining and simplifying the complex invoice processing workflow.

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Our solution converts unstructured invoice data into properly formatted text, enabling accurate data extraction and analysis.

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We create a customized dataset to map similar fields such as Invoice Number and Invoice Date, ensuring consistent categorization and improved data management.

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Our intuitive web user interface allows users to effortlessly drop invoices, instantly receiving key-value pairs of specific information, enhancing productivity and reducing manual effort.

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Leveraging our built-in Named Entity Recognition (NER) model, we accurately extract entities present in the invoices, improving data accuracy and speeding up processing.

Business Impact

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Time and Cost Savings: Our invoice automation solution reduces manual effort, streamlining the invoice processing workflow, leading to significant time and cost savings.

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Improved Accuracy: By automating the data extraction process, our solution eliminates human errors and ensures accurate capture of invoice information, improving data integrity and reducing financial discrepancies.

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Enhanced Productivity: With automated invoice processing, employees can focus on more value-added tasks, boosting overall productivity and allowing the business to allocate resources effectively.

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Faster Payment Processing: By expediting the invoice handling process, our solution enables faster payment processing, improving cash flow management and strengthening vendor relationships.

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Scalability and Growth: Our scalable solution can handle large volumes of invoices, accommodating business growth and increasing operational efficiency, paving the way for future scalability and expansion opportunities.

Testimonials of Our Happy Clients

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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

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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.

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