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Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

List of eDAS Intelligent Document Processing Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Upstox Banking and Financial Services 800 $120M India eDAS eDAS Intelligent Document Processing Intelligent Document Processing 2023 n/a In 2023, Upstox implemented eDAS Intelligent Document Processing, categorized as Intelligent Document Processing, to address back office document handling and email automation needs. The deployment was positioned alongside eDAS VAANI omni channel contact center delivery for voice, chat and email in India, with the vendor testimonial noting faster, frictionless support and improved agent operations for the contact center implementation. eDAS Intelligent Document Processing was configured to support core IDP capabilities typical for the category, including automated OCR based capture, document classification, structured data extraction and validation, email parsing and rule based routing into downstream workflows. The configuration emphasized capture to structured payloads for downstream processing and human in the loop exception handling for documents that fail automated validation. Although the public case highlights VAANI explicitly, it is inferred that eDAS Intelligent Document Processing was used to automate email and document intake feeding agent workflows and back office processing, integrating implicitly with contact center inbound channels and internal ticketing or processing queues. The narrative positions the IDP as a data ingestion and staging layer that normalizes unstructured inputs for operational systems and agent interfaces. Operational governance focused on document quality controls, validation rules and exception routing to specialist teams, with a staged rollout approach across back office functions. Configuration and rule sets were implemented to align automated extraction with existing processing workflows, while retaining human review gates for exceptions and complex documents.
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