Data and AI Solution Architect Proposal Presentation

Situation:

Client has 100 + stores and they’ve harnessed very large amounts (200 TB +) of historical data in disparate systems.
Client is looking to combine historical data with real-time streaming data to build dashboards and machine learning models to equip their operations team with to-the-minute decisions
Client requires a solution that allows them to return queries in seconds.
Each store has 100 IoT Sensors that monitor customer behavior and the data needs to be made available rapidly to identify customer patterns.
Client needs a recommendation engine to drive higher sales / customer.
Client wants to minimize the total number of services so that the architecture is optimized for performance, cost and usability.
Activity:

Create a proposal (<= 5 slides) which captures the following:
High level architecture diagram
Assumptions made
Risks and Dependencies
Team structure, timeline and estimated cost
Azure Consumed Revenue (Cost of ownership of the solution)
Implementation process