Stories of Transformation
Solving complex problems and creating value at scale with EdgeVerve’s powerful platforms.
Solving complex problems and creating value at scale with EdgeVerve’s powerful platforms.
Telecom
Document AI tackles manual contract review inefficiency to identify hidden contract risks and help make better business decisions.
Manually extracting insights from several hundred thousand tower lease contracts was proving to be a significant challenge for a leading American telecom.
Document AI automated the contract review process, identifying, extracting, and managing data from 750,000+ contracts. The data extracted was also consumption-ready for downstream systems. The contracts were processed from upstream repositories to build a structured contract summary. The platform also assessed risks and flagged high-risk contracts.
Easy access to important information helped negotiators get better terms and make favorable business decisions.
750,000+
Contracts Processed
$21 Mn
USD Saved Annually
60%
Productivity Growth
Food & Beverage
TradeEdge helps overcome emerging market challenges to drive sales force productivity in Africa.
A global beverage company wanted to streamline its manual van sales operations in Africa to gain secondary sales visibility and drive growth. However, heavy reliance on manual processes took away valuable time from actual sales. Tech infra and skill challenges made it difficult to implement sophisticated solutions like Distributor Management Systems (DMS) app.
TradeEdge’s Sales Force Automation (SFA) app helped the client digitize and standardize van sales operations, reduce manual interventions, improve data visibility, and boost sales representative productivity.
20%
Improvement in
Sales Representative Productivity
10
Countries Covered
in Just 2 Years
100%
Invoicing Through the App
Financial Services
Document AI overrides manual data search and extraction challenges, making comfort letter review faster and more accurate.
A leading global auditor processed ~650 comfort letters annually. This needed 12,600 hours of manual effort to search and extract critical clauses from various document types. The process was slow and inefficient, limiting the ability to capture insights and compare document language with standard templates.
Document AI automated the extraction, reconciliation, and comfort labeling process using NLP and machine learning. The platform reduced comfort letter review cycles through automation, keyword searches, and risk profiling.
10x
Productivity Growth
90%
Research Efficiency Boost
30%
Review Time Reduction
consumer goods
Data Exchange tackles inventory challenges and drives real time omni-channel order orchestration.
A renowned athletic footwear and apparel brand was dealing with a significant inventory glut during the pandemic. They wanted to provide their partners with the means to sell without carrying actual physical inventory.
TradeEdge seamlessly integrated various partner and internal platforms through APIs and orchestrated process flows. When a customer orders on a partner site, the platform seamlessly triggers a fulfilment process within our client’s partner system, enabling endless aisle.
27,000
Products Visible on the Partner Platform
75,000
Orders Processed in a Day
<2 sec
Response Time for Real Time
Order Orchestration
Electronics
Document AI overcomes manual review challenges to enable straight-through processing of compliance reports.
A leading American electronics giant was facing challenges in manually reviewing complex and varied Full Materials Disclosure (FMD) reports to meet IPCC compliance. They had a historical load of 100,000 reports and 20,000 new reports added annually.
Document AI automated the extraction and analysis of data from these complex reports, building an end-to-end data pipeline for FMD compliance. The solution classified reports, identified table types, and extracted key fields, even from complex formats. Post-processing de-normalized data and standardized headers, ensuring consistency.
90%
Documents Processed
Without Manual Intervention
10,000+
Workdays Saved
Improved RoHS
(Restriction of Hazardous Substances)
Compliance
Consumer Goods
TradeEdge helps overcome legacy systems and fragmented data challenges to expedite customer onboarding.
A global logistics and warehousing company wanted to expand its market share and include smaller enterprises. However, their tightly coupled legacy systems were complex and lacked scalability, affecting agility, new service rollouts, and market adaption.
TradeEdge’s pre-built data models standardized customer transaction data and eliminated the need for point-to-point integrations. This helped accelerate onboarding timelines and seamlessly orchestrate business transactions with real-time visibility and user-friendly self-service tools.
75%
Reduction in
Onboarding Time
Real-time,
Unified View of All
Customer Transactions
Accelerated Onboarding
from 3-5 months to 4 weeks
Financial Services
AI Next automates the cumbersome process of manual trade verification, making it faster and more efficient.
A leading financial organization relied on manual processing for trade documents, extracting over 50 fields for each trade. This caused bottlenecks and often led to human errors in data extraction and processing. Multiple counterparties and instrument types, document and format variations, complex extractions, etc., added to the challenge.
EdgeVerve AI Next automated the entire document processing pipeline. It extracted data from multiple PDFs, Excel sheets, and Word documents, applied business rules, and generated JSON output for reconciliation. The result? Faster and more efficient trade verification.
96%
Accuracy
130+
Variations
200+
Entities Extracted with
300+ Q&A, 50+ Rules Applied
food & beverage
TradeEdge overcomes data silos to enable faster track and trace for product movement down to the pallet level.
Mars needed real-time visibility into product movements across their supply chain to mitigate the risks associated with frequent product recalls and hold-and-release failures. However, data silos created by process complexity, varied technology maturity across the value chain, and legacy systems made it nearly impossible to track and trace products effectively.
TradeEdge - a cloud-based, scalable solution - provided Mars with a single version of truth on product movement down to the pallet level. Adapters helped ingest the data from multiple partners and varied ERPs with minimal effort and in near real-time. A collaborative compliance reporting dashboard allowed Mars to manage the hold and release process swiftly.
48x
Faster Traceability
Faster
Time to Resolution
Standardized
Hold-and-Release
Process at the Pallet Level
Manufacturing
AI Next overcomes data silos and digitizes contract review to improve process efficiency.
A large American semiconductor company needed to analyze the risks in large volumes of existing customer and supplier contracts. Manually reviewing a random sample of key contracts, which resided in multiple silos, made it challenging to assess the exposure to various risks.
EdgeVerve AI Next automated the contract review and risk scoring process. Using deep learning models, contextualized to the client’s contract domain, the platform processed thousands of contracts in record time with >80% accuracy. Near real-time insights on risks and opportunities improved M&A decision quality.
30k+
Contracts Processed in One Week
50
Intents and 125 Entities Extracted
70%
Higher Efficiency
Financial Services
Document AI takes on long, complex documents and extracts insights to speed up security prospectus underwriting.
A US-based trade settlement agency faced challenges in underwriting new security instruments. Manually reviewing 400-600 pages long, complex corporate bond offer documents containing intricate and implied financial, legal, and regulatory details was challenging.
Document AI automated metadata extraction to determine underwriting eligibility. We trained models on diverse offer documents using convolutional neural networks (CNN) for intent extraction and QnA for entity and data point extraction. Reusable models were created for subsequent issues under corporate debt. An accuracy tool continuously refined the model to improve outcomes.
This solution improved operational efficiency, reduced manual effort, and enabled faster eligibility determination.
600
Complex Documents Processed
60+
Business Rules Applied
Streamlined
Underwriting
Eligibility Review Workflow
Insurance
Document AI reduces administrative burden of extracting and validating data and improves the submission-to-quote ratio.
A leading commercial insurer wanted to reduce the administrative burden on its underwriters and improve internal collaboration with seamless data exchange.
Document AI helped monitor submissions, extract data, and validate extracted information across LOBs. It also extracted, infused, and enriched information with 15+ third-party agencies’ data, prioritized submissions, and reduced underwriting leakage. The result? Reduced manual effort and improved outcomes.
The project was so successful that the client is now expanding the implementation to various products across seven LOBs and their UK operations.
40%
Manual Effort Reduction
>15%
Enhanced Quote Conversion
5%
Improvement in The
'Submission-to-Quote’ Ratio
banking
Document AI takes on a heavy document processing load to make KYC process faster while improving compliance.
A leading US bank was struggling with KYC processing due to the volume and complexity of documents. With 70% of clients requiring periodic updates, the bank dealt with an immense load of over 60 document types from seven regions and multiple sources.
Document AI automated the discovery, classification, and bulk processing of historical and current KYC documents. Human-in-the-loop UI facilitated accurate review and feedback for various document types.
The platform reduced KYC turnaround from weeks to days, enhancing operational efficiency and improving compliance.
1 Mn
KYC Documents / Month
60+
Document Types
90%
Automation Coverage
banking
GenAI Co-pilots overcome searchability challenges to reduce contract review cycle time and boost productivity.
A leading US bank was struggling with KYC processing due to the volume and complexity of documents. With 70% of clients requiring periodic updates, the bank dealt with an immense load of over 60 document types from seven regions and multiple sources.
EdgeVerve AI Next’s Generative AI-powered Co-Pilot swiftly and accurately extracted terms and clauses, identified risks, and performed risk profiling for contracts and suppliers. Contract teams improved productivity with enhanced search using keywords (content), intents (clause), entities, and metadata.
60%
Reduction in Contract Review Cycle Time
10x
Productivity Growth
90%
Review Time and Effort Reduction
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