The demo goes through the process of deploying a tool that predicts if a home delivery will fail or not based on a set of key features like time of delivery, geo-location of customer or value of item. This could help retailers and logistics companies to reduce the economic and environmental impact of the missed delivery problem.
This proof-of-concept covers multiple steps, including storage of data on S3, feature engineering & training of the model with SageMaker, results visualisation/dashboarding with Athena/Quicksight and finally the deployment on a AWS endpoint.
Intelligent document processing is an umbrella term related to automated extraction, interpretation, classification and handling of digitized documents. +/- 80% of data is unstructured, and documents are often a bottleneck to automate processes. AWS supports in different ways to enhance Intelligent Data Capture and document processing so data can be extracted and by labeling it, the data becomes content that can be handle further in the process.
CCASE is a ‘plug and play’ analytics solution that aims to improve contact centre productivity, call quality management, and enhance the service experience for customers and agents.
This ‘accelerator’ tool has a customized AI-enabled foundation built by using different AWS components and can run on-premise or in the cloud.
Find out all about CCASE here
We are Sprint Reply Belgium, part of the Reply Network. Our mission is to transform the work environment by optimizing business processes with an automation mindset and an employee-driven approach. This contributes to our vision to empower employees to focus on the essence of work.
Our customers can count on us to define an automation strategy and implement end-to-end (intelligent) automation solutions. Our human-driven approach is combined with knowledge and experience in technologies like Robotic Process Automation (RPA), Intelligent Data Capture (IDC) & Optical Character Recognition, Natural Language Processing (NLP), Machine Learning (ML) and other low code platforms. Our approach is defined by the balance between people, technology and governance.
We continually invest in our knowledge regarding low-code platforms and Artificial Intelligence topics to give our customers the solution that best fits their needs.