Computer Science

Analyse user behaviour & optimise the user workflow using a machine learning algorithm

Based on the characteristics, we need to come up with another set of guided navigation, which can guide the user in case the user misses steps in a workflow on a consistent manner

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TIMELINE

50 days

CERTIFICATE

Provided by the Company after Review

INCENTIVES

Paid Internship - After completion

About this Menternship

In today's technology spectrum, we have various different tools which can provide a guided tour for the UI screens that we come up with these days. This is a great way to get the user started on using any web/mobile application.
We also have multiple ways to get the telemetry for these UI screens.
Given the datasets that we have (guided workflow for a user and the telemetry of the actual usage), we need to figure out:

a. Workflow Characteristics
b. User Characteristics

Through this Menternship, based on the characteristics, JDA needs you to come up with another set of guided navigation, which can guide the user in case the user misses steps in a workflow on a consistent manner.

JDA delivers end-to-end supply chain solutions that help you seamlessly connect your supply chain and profit more in an omni-channel world.
With JDA, you can seamlessly deliver for your end-customers, optimizing their experience with your retail store or product — all while you achieve your profit goals. More than 4,000 JDA global customers use JDA integrated retail and supply chain planning and execution solutions to optimize costs, increase revenue and reduce time to value.
Our mission is to help you seamlessly connect your supply chain so you can deliver for your customers.

Why take up this Menternship?

On completing this Menternship, you will learn about

    1. Understanding user behaviour on web applications through telemetry analysis
    2. Application of Machine Learning to improve user retention and user experience design on the web

Expected Output

  1. Link to the web page created    Link
  2. Source Code    Link
  3. Telemetry data collected and stored    Excel
  4. A document/presentation which explains the solution in detail.    Pdf
  5. Algorithm(s) (in any computing language) which was used to analyse the application telemetry and figure out the various workflow characteristics.    Link
  6. A video which demonstrates the way in which the user is guided towards the next steps when the user misses them and clicks/navigates somewhere else.    Video

Analyse user behaviour & optimise the user workflow using a machine learning algorithm

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