Consumer Value Chain Alert Monitor System- ON-317Desired discipline(s): Computer science, Mathematical Sciences, Mathematics, Statistics / Actuarial sciences
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
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.
- 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.