Five Intelligent Automation Success Stories In Manufacturing, Supply Chain Management & Logistics
Rajesh has extensive experience and knowledge in Process Engineering and Innovation. He spearheads Intelligent Automation at Datamatics and has enabled several leading Banking, Financial Services, Insurance (BFSI) and Manufacturing, Supply Chain Management.
Key Takeaways from the Blog:
Intelligent Automation takes a holistic approach toward end to end automation.
.It improves turnaround time in all the process intensive sectors.
.It brings all the IT infrastructure and free-text documents in the automation ambit.
Today, sustainability is a key word in the Manufacturing, SupplyChain Management, and Logistics industry. The project documentation is mostly in unstructured format or free text and the document validation, processing, and management requires being fast and precise as the entire process is set to execute in a clock-work. It has to fulfill a definite rhythm and frequency to meet the next stage of manufacturing production across a gross mesh of multiple supply chains. The documentation and billing requires being fast across the multiple vendors across different production stages so that you are eligible to avail the next set of raw material and credit. The key word here is sustainability in the complex business ecosystem. Intelligent Automation enables Manufacturing, Supply Chain Management, and Logistics companies to achieve accurate data extraction from free text documents, integrate it with the downstream systems for processing, and use the data for deciphering different patterns through dashboards.
What is Intelligent Automation? Intelligent Automation is a smart amalgamation of Intelligent Document Processing, Robotic Process Automation, and Artificial Intelligence/Machine Learning. It offers a unified platform to automate different processes that span siloes, legacy, and modern ERPs. It involves processing of free-text or unstructured and semi structured documents, including purchase orders, invoices, goods received notes, lengthy agreements, contract documents, trade finance documents, and so on. Intelligent Automation holistically integrates and leverages the existing IT infrastructure on-premise and/or cloud. It improves the turnaround time of tasks and processes and takes a fraction of the time required for manual processing. It acts as an adjuvant to human efforts and improves enterprise productivity and efficiency by more than 75 percent.
Intelligent Automation Success Stories Manufacturing, Supply Chain & Logistics Intelligent Automation Success Story 1: A large logistics company leveraged Intelligent Automation for Dynamic Pricing for their preferred customers. With a higher than average logistics shipment around the year and no contractual agreement, changing the billing to adjust discounts as per logistics volumes was tedious. The Intelligent Automation ensemble insitutionalized Dynamic Pricing by automating business rules to accommodate minimum pricing, maximum pricing, and discounts with respect to logistics volumes. The automation enabled the logistics company to improve cashflow, cash management, operations control, and data visibility, and reduce manual effort.
Intelligent Automation Success Story 2: A large American supply chain management and logistics company with a base of 50,000+ active customers and FMCG players that procure raw material and bring products to market at a high frequency improved fuel billing and transaction processing time by 86 percent with Intelligent Automation. The ensemble enabled them to reduce the fuel billing processing time by extracting the data from the bills in unstructured format, converting it into a structured format, and processing it quickly by routing it to the core systems. By automating the process of tracking the bills from thousands of vehicle leases in a complicated business framework, the company achieved high operational efficiency and vendor satisfaction.
Intelligent Automation Success Story 3:A global logistics giant automated the Bill of Lading processing with Intelligent Automation. Logistics value chain is multi-modal and complex and managing thousands of customers on a weekly basis made the scenario very challenging.Intelligent Automation improved the extraction of unstructured data from different types of documents, converted it into structured data, and integrated it with core business systems for further processing. The automation accelerated the cycle time, improved accuracy, scalability, and operational visibility. It improved productivity from 80 bills per shift to more than 200 per shift.
Intelligent Automation Success Story 4: A transport giant in the Middle East leveraged Intelligent Automation to track vessels delivering logistics shipments along multi-modal pathways on a realtime basis. It enabled them to track the consignment location on various parameters, such as arrival date and time, loading or unloading, documents being verified, etc. The Intelligent Automation platform enabled them to navigate to different freight terminal websites and extract the relevant details in an Excel spreadsheet. It integrates the data with the CRM system or emails it to the helpdesk operator. It reduced the customer response time by 40 percent and optimized the vessel tracking process.
Intelligent Automation Success Story 5: A large European manufacturer having a processing load of 140,000 PO and non-PO invoices annually improved cash management with Intelligent Automation through real-time data visibility across their global locations. They automated their Accounts Payables operations, reduced high operational costs, and eliminated error and rework through automation.
Benefits
Integrated Automation: It integrates the different software applications and products and provides a common integrated platform.
Automated Intelligence Processing:It leverages AI/ML/NLP for true automated intelligence processing that takes a fraction of the time required form
annual turnaround.
Unattended & Attended Automation: AI/ML helps automate processes with or without human involvement as per the business requirement.
Intelligence from Free-Text & Hand Written Document: It uses the built-in intelligent document processing features to derive intelligence from unstructured text, converts it into structured format and integrates it with the core systems for further processing.
Cloud & On-Premise Deployment: It improves the flexibility, scalability, and agility of the existing IT landscape and improves time to value by manifolds
One Platform through Integration with APIs:It integrates all the automated and siloed automation systems to provide one intelligent processing platform
Enterprise Grade Automation & Governance: It offers robust data security, secures the data through all stages and supports all critical projects.
Customizable as per User Role: It offers a customizable output for all user personas and automates complex processes with ease.
Simply Put: Intelligent Automation smartly amalgamates different cognitive technologies to offer a unified and sustainable platform across an IT landscape. It offers end-to-end automation while including unstructured and freetext data in the ambit.It takes a holistic approach across onpremise and cloud infrastructure and improves enterprise productivity and efficiency.
Key Takeaways from the Blog:
Intelligent Automation takes a holistic approach toward end to end automation.
.It improves turnaround time in all the process intensive sectors.
.It brings all the IT infrastructure and free-text documents in the automation ambit.
Today, sustainability is a key word in the Manufacturing, SupplyChain Management, and Logistics industry. The project documentation is mostly in unstructured format or free text and the document validation, processing, and management requires being fast and precise as the entire process is set to execute in a clock-work. It has to fulfill a definite rhythm and frequency to meet the next stage of manufacturing production across a gross mesh of multiple supply chains. The documentation and billing requires being fast across the multiple vendors across different production stages so that you are eligible to avail the next set of raw material and credit. The key word here is sustainability in the complex business ecosystem. Intelligent Automation enables Manufacturing, Supply Chain Management, and Logistics companies to achieve accurate data extraction from free text documents, integrate it with the downstream systems for processing, and use the data for deciphering different patterns through dashboards.
Intelligent Automation enables Manufacturing, Supply Chain Management, and Logistics companies to achieve accurate data extraction from free-text documents
What is Intelligent Automation? Intelligent Automation is a smart amalgamation of Intelligent Document Processing, Robotic Process Automation, and Artificial Intelligence/Machine Learning. It offers a unified platform to automate different processes that span siloes, legacy, and modern ERPs. It involves processing of free-text or unstructured and semi structured documents, including purchase orders, invoices, goods received notes, lengthy agreements, contract documents, trade finance documents, and so on. Intelligent Automation holistically integrates and leverages the existing IT infrastructure on-premise and/or cloud. It improves the turnaround time of tasks and processes and takes a fraction of the time required for manual processing. It acts as an adjuvant to human efforts and improves enterprise productivity and efficiency by more than 75 percent.
Intelligent Automation Success Stories Manufacturing, Supply Chain & Logistics Intelligent Automation Success Story 1: A large logistics company leveraged Intelligent Automation for Dynamic Pricing for their preferred customers. With a higher than average logistics shipment around the year and no contractual agreement, changing the billing to adjust discounts as per logistics volumes was tedious. The Intelligent Automation ensemble insitutionalized Dynamic Pricing by automating business rules to accommodate minimum pricing, maximum pricing, and discounts with respect to logistics volumes. The automation enabled the logistics company to improve cashflow, cash management, operations control, and data visibility, and reduce manual effort.
Intelligent Automation Success Story 2: A large American supply chain management and logistics company with a base of 50,000+ active customers and FMCG players that procure raw material and bring products to market at a high frequency improved fuel billing and transaction processing time by 86 percent with Intelligent Automation. The ensemble enabled them to reduce the fuel billing processing time by extracting the data from the bills in unstructured format, converting it into a structured format, and processing it quickly by routing it to the core systems. By automating the process of tracking the bills from thousands of vehicle leases in a complicated business framework, the company achieved high operational efficiency and vendor satisfaction.
Intelligent Automation Success Story 3:A global logistics giant automated the Bill of Lading processing with Intelligent Automation. Logistics value chain is multi-modal and complex and managing thousands of customers on a weekly basis made the scenario very challenging.Intelligent Automation improved the extraction of unstructured data from different types of documents, converted it into structured data, and integrated it with core business systems for further processing. The automation accelerated the cycle time, improved accuracy, scalability, and operational visibility. It improved productivity from 80 bills per shift to more than 200 per shift.
Intelligent Automation Success Story 4: A transport giant in the Middle East leveraged Intelligent Automation to track vessels delivering logistics shipments along multi-modal pathways on a realtime basis. It enabled them to track the consignment location on various parameters, such as arrival date and time, loading or unloading, documents being verified, etc. The Intelligent Automation platform enabled them to navigate to different freight terminal websites and extract the relevant details in an Excel spreadsheet. It integrates the data with the CRM system or emails it to the helpdesk operator. It reduced the customer response time by 40 percent and optimized the vessel tracking process.
Intelligent Automation Success Story 5: A large European manufacturer having a processing load of 140,000 PO and non-PO invoices annually improved cash management with Intelligent Automation through real-time data visibility across their global locations. They automated their Accounts Payables operations, reduced high operational costs, and eliminated error and rework through automation.
Benefits
Integrated Automation: It integrates the different software applications and products and provides a common integrated platform.
Automated Intelligence Processing:It leverages AI/ML/NLP for true automated intelligence processing that takes a fraction of the time required form
annual turnaround.
Unattended & Attended Automation: AI/ML helps automate processes with or without human involvement as per the business requirement.
Intelligence from Free-Text & Hand Written Document: It uses the built-in intelligent document processing features to derive intelligence from unstructured text, converts it into structured format and integrates it with the core systems for further processing.
Cloud & On-Premise Deployment: It improves the flexibility, scalability, and agility of the existing IT landscape and improves time to value by manifolds
One Platform through Integration with APIs:It integrates all the automated and siloed automation systems to provide one intelligent processing platform
Enterprise Grade Automation & Governance: It offers robust data security, secures the data through all stages and supports all critical projects.
Customizable as per User Role: It offers a customizable output for all user personas and automates complex processes with ease.
Simply Put: Intelligent Automation smartly amalgamates different cognitive technologies to offer a unified and sustainable platform across an IT landscape. It offers end-to-end automation while including unstructured and freetext data in the ambit.It takes a holistic approach across onpremise and cloud infrastructure and improves enterprise productivity and efficiency.
