Consumer Value Chain Alert Monitor System- ON-317

Desired discipline(s): Computer science, Mathematical Sciences, Mathematics, Statistics / Actuarial sciences
Company: Anonymous
Project Length: 6 months to 1 year
Preferred start date: As soon as possible.
Language requirement: English
Location(s): Toronto, ON, Canada
No. of positions: 1
Preferred institutions: OCAD University, Ontario Tech University, Ryerson University, University of Toronto, York University

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About the company: 

The partner company is a multinational food and drink processing conglomerate corporation.

The Canadian arm of the company employs 3,000+ people in more than 18 manufacturing, sales and distribution sites across Canada, with their head office located in Toronto.

Please describe the project.: 

Develop an Alert Monitor System to increase responsiveness throughout the Value Chain, focussing on optimizing Customer Service execution during the COVID 19 pandemic. This will ensure high levels of on-shelf availability across Canada. The project will deliver alerts in real time which will trigger a response across the value chain whether it impacts production, transportation or distribution.

  • Use Deep Neural Networks to predict out of tolerance deviations to trigger alerts. These alerts will be configurable by a user or centrally for the function.

  • Identify the decisions that matter most to each function, and design and deliver the automated insights and predictive alerts in support of meetings and opportunities/risks to the right person at the right moment (customer meeting, on the go, etc.).

Research objectives include building:

  • Building cross functional Data Architecture (Build and Governance Model)

  • Developing AI Model(s) consuming cleaned and normalised data to create predictions that will influence what action users will take.

  • Provide capability to customised Alerts and notifications to relevant users or user groups

  • Solution must integrate with SAP Data and be an Azure cloud-based solution.

 

Required expertise/skills: 

  • Data Science and Data Engineering Skills
  • Familiar with the application of AI/Machine Learning to determine impact/benefits based on business events e.g. production failures, customer demand changes, etc.
  • Experience with working in Microsoft Azure is considered an asset.