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OVERVIEW
Implemented Analytic Hierarchical Process while developing a Chatbot for the procurement stage in a Supply Chain
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According to numerous studies and reports, procurement is the single most time-consuming and expensive stage in a supply chain
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Some even say that optimizing this stage through digitalization could help companies increase their profits by USD 60000 to 100000!
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Therefore, my team and I decided to conduct user research with important stakeholders from the procurement stage to understand if digitalization and in particular, chatbots would have a significant impact on this stage
PROJECT DETAILS
School
R V College of Engineering,
Bengaluru, India
Duration
3 weeks
Role
Researcher, Analyst, Developer
PROBLEM STATEMENT
“ To understand the relevance, need for and to develop chatbots for the ease of procurement stage in the supply chain ”
USER RESEARCH & DATA VISUALIZATION
Majority of stakeholders in the field believed that there was potential to reduce procurement efforts through RPA
To what extent have you incorporated RPA in your supply chain?
Do you believe there is a requirement for RPA in the supply chain?
DEVELOPMENT OF CHATBOT
Get an ordered list of suppliers based on preferred criteria, quick facts about them and narrow down your choice quickly
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Through our survey, we understood that there were some criteria that stakeholders preferred when looking out for suppliers - therefore, it was implied that there needs to be some sort of weighted preference given to each of them.
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Therefore, to get a preferred list of suppliers - I developed a function on the chatbot that considers this weightage and ranks suppliers based on their preferred criteria using Analytic Hierarchy Process
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The chatbot can also give you quick facts about suppliers such as their rejection rate, cycle time etc.
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The dataset for this was constructed based on the data we obtained from the survey
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Read more about it here:
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