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Digital Experience
Case Study
Optimizing invoicing processes with RPA
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We automate the invoicing process by detecting the differences between the SAP data that of the reports coming from Client's flight headquarters.
Where: italy
Where: italy
Challenge
Our Client is a leader in the field of air emergency, with helicopter rescue, fire-fighting, off-shore and support services, as well as in engineering services in the Defense, Energy, Telecommunications and Transport sectors.
Approach
We supported a specifc Division accounting for a fleet of 54 helicopters and 40 operational bases on national and foreign territory, for the improvement of its internal processes, in particular that of active billing. This process, when managed manually, commits a person for 3 weeks per month in repetitive and time consuming activities. The goal was to reduce the timing, relieve the user of low value tasks, reduce the incidence of errors and guarantee the required SLAs.
After analyzing our Client's operational model, Engineering D.HUB identified a solution for active billing, to automate the validation process between the data stored in SAP and that data coming from the reports sent via email by the pilots.
Before implementing it, we assessed its appropriateness and expected benefits with a pilot phase of the project. The solution, based on NICE Advanced Process Automation, provides unattended automation to verify flight reports: it acquires the files sent by pilots via email, compare the data them with that stored on SAP, flags the sections that meet the predefined requirements and sends the results highlighting the cases to be re-verified and the exceptions.
The solution will be managed in outsourcing at our Data Center in Pont-Saint-Martin, for three years, also by providing infrastructure management services.
Results
+90% efficiency in process timing
100% compliance with contractual SLAs
No application or development changes on Customer's systems
Application of the solution to other processes
Impacts
Project Teams
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Engineering D.HUB It is the partner for outsourcing and transition to Cloud services, offering methodological standards and a technological and services platform to support digital transformation in the various Engineering market sectors.
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Robotic Process Automation We guide the development of a valuable Robotic Industrialization Office through our team of accredited professionals, which ensures structured governance with a smart methodological approach.
Technologies
Intelligent Process Automation (IPA)
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Intelligent automation enhances the human component, transforming work and business interactions.
To know more
Research Project
QLMD: Quantum Computing for an efficient urban logistical ecosystem
Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
Research Project
Circular TwAIn - AI for Recycling, Reusing and Remanufacturing
An AI platform to increase the performance, resilience, and sustainability of direct manufacturing and process industries, promoting circular economy.
Use Case
Generative AI for Industrial Assembly Sequence Automation
GenAI tools automate the interpretation of industrial components and assembly sequences, reducing errors while improving efficiency, traceability, and overall operational performance.
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Research Project
QLMD: Quantum Computing for an efficient urban logistical ecosystem
Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
-
Research Project
Circular TwAIn - AI for Recycling, Reusing and Remanufacturing
An AI platform to increase the performance, resilience, and sustainability of direct manufacturing and process industries, promoting circular economy.
-
Use Case
Generative AI for Industrial Assembly Sequence Automation
GenAI tools automate the interpretation of industrial components and assembly sequences, reducing errors while improving efficiency, traceability, and overall operational performance.
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