3^rd Edition Enterprise Innovation Challenge: Intelligent Automation

Extraction, categorization and labelling of useful and relevant customer data such as Name, Address and Contact details etc from printed and/or hand-written labels/ forms with adequately high accuracy

1. Extract and classify all relevant Address/ Contact data points
2. Extraction and Classification should exhibit a high level of CONFIDENCE LEVEL on a progressive basis
3. Conversion of Extracted/ Converted Addresses into Accurate GEO-COORDINATES

Purpose

Customer data obtained from Shipments coming needs to be captured and stored in the system correctly so that routing and delivery is accurate and time bound without any fall in efficiency.

Problem Summary:Incident management is typically closely aligned with the service desk, which is the single point of contact for all users communicating with IT. When a service is disrupted or fails to deliver the promised performance during normal service hours, it is essential to restore the service to normal operation as quickly as possible. For L1/L2/L3 teams: This means going through the emails, creating an appropriate incident/ticket. Societe Generale plans to automate this process to enable generation of incident/ticket from the received emails.

Every enterprise follows the ITIL process to create and keep track of incidents. Incident management processes often involve numerous manual activities. E.g. Going through the emails/chats to understand and raise the incident appropriately. High number of such manual activities in the ITIL processes take a lot of manual effort. The manual nature of these tasks also makes ITIL process prone to human error.

Purpose

The redundant nature of manual tasks in the ITIL process is not only prone to errors but also is labor intensive. The purpose is to automate such redundant and labor-intensive tasks in a bid to bring more efficiency and more efficacy to the ITIL process.

Problem Summary: For consignments which are picked up from customer premiseshave to be entered into the system via SmartTrack application used by the Pickup executive. The Pickup executive can either manually enter the Sender Details and Receiver details into the application or we can automate the process.

DTDC intends to capture the image of consignment on which Sender Details and Receiver Details are either manually written or pasted on a label. It is expected to extract the relevant Sender and Receiver details from the captured image with highest possible accuracy and speed.

Digital assistant which can support buyers in making informed decisions and improve buying performance across direct, indirect material sourcing and procurement