Success Story

Revolutionizing field services with Gen AI Solutions for a Manufacturing Company

About the client

A global Third-Party Logistics (3PL) provider seeking to overcome operational challenges by automating invoice and prenote processing

Challenges

    The client encountered several issues in processing invoices and prenotes from their end customers:

  • Invoice Formats: Every customer used different formats for PDF invoices, making it impractical to rely on a pure RPA-based solution.
  • Manual Dependencies: Processing delays occurred as the team had to manually interpret invoice content and ensure accuratata extraction.

Approach

    Innover implemented a hybrid AI-RPA automation solution to streamline the client’s invoice and prenote processing workflows:

  • Automated Retrieval of Invoices: Deployed RPA bots to retrieve invoices from the client’s email inbox, reducing manual intervention.
  • AI-Driven Text Extraction: Leveraged AI models to extract essential text and key elements from invoices across multiple formats.
  • Auto-Agent with Intelligent Rule Engine: Introduced an intelligent rule engine to categorize shipments and identify relevant fields for extraction.
  • Human-in-the-Loop Validation: Integrated a user-friendly frontend interface that enabled human operators to validate and correct extracted fields, ensuring data accuracy.
  • API Integration with TMS: Established seamless API-based integration with the client’s TMS system to automate data entry, eliminating manual uploads.

Solutions

Innover developed a Machine Learning powered efficient route planning and carrier allocation system focused on minimizing costs and augmenting profit for daily/weekly/monthly planning horizons. This included:

1.Combining structured and unstructured customer data from various data sources – Transport Management System (TMS), Financial Systems, Bing maps etc

2.Pareto and Cluster Analysis to identify most important routes for the client and categorize cities that attract most demand

3.An intelligent carrier allocation system driven by expected demand, threshold miles, driver availability & work-life balance constraints

Impact Delivered

Reduced Document Processing Time

Reduced Cost of Operations

Boosted Productivity

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