Personalize Fitment to determine AI/ML driven Solution Roadmap for a leading ​ B2C E-Ticketing Platform​

1CloudHub helped one of India's largest online e-ticketing company in Data Acquisition, Data Validation, Fitment to Personalize services and Roadmap with future insights

Industry

Online Ticketing

Offering

AI/ML

Cloud

AWS

About the client

The client is a pioneer in providing end-to-end software and other value-added solutions such as e-ticketing systems, fleet management solutions, vehicle tracking systems, passenger information systems, logistics management backed by a 24×7 customer support center. The company also provides technology solutions to more than 300 large private bus partners in India, 5 state transport corporations and 2 international bus partners.

Business Challenge

  • Improve Checkout Ratio for an e-ticketing platform leveraging data​
  • Reduce cost to business due to discount coupons, thereby increasing bottom-line revenue​
  • Bridge the skew in the usage among the channels (web/mobile)

Project Scope

Data Acquisition, Data Preparation, Personalize Fitment and Roadmap with future insights

Our approach

Data Acquisition

Data Preparation

Personalize Fitment

Road-map

01. Data Acquisition

Ingest Data from multiple event sources like CleverTap, Gamooga across channels like web, android, ios into the DataLake

02. Data Preparation

Validate data quality and chose the right metadata with significant co-relation, which would have influencing behaviour on the models to be built

03. Personalize Fitment

Evaluated fitment to leverage Amazon Personalize for real time personalization, similar item recommendations and personalized rankings. Identified Insights about business performance and data gaps

04. Road-map

Detailed Roadmap based on influencing factors to increase checkout ratio

Outcomes

Comprehensive Business insights based on the trends of influencing factors

Directions to unlock the full value of the existing customer base and attract new consumers

Optimal path to maximize the usage of transport inventory mix to increase revenue

Looking forward

We are delighted to have helped the client by providing personalization to determine AI/ML driven Solution Roadmap. We look forward for the production phase to deploy the AI models.

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