Successful Adoption of a ML-Based Solution

I am seeking an experienced individual to help me with the successful adoption of a Machine Learning (ML) based solution. I am in need of a presentation with 15-20 slides, where i can speak for 15 minutes.

The ideal candidate I’m looking for is someone who is an expert in this field in order to help candidate get more marks.

Below goes the task:

Successful Adoption of a ML-Based Solution

Imagine you are head of a large supermarket chain which has so far worked with manual processes: Inventory in
the store and storage is tracked manually each day, orders for the next day are assembled manually, approved by
the supply chain experts and their manager before being sent out as orders to the supplier or wholesaler. This
approach is very costly as many of the employees spent most of their time working on the numerous manual
processes and despite all this effort large gaps remain in the shelves due to out-of-stock situations as well as a
high rate of waste for perishable food.
In a strive to modernize your business you have defined the use-case discussed in the script (supermarket
replenishment) with an expert Data Science provider. Now you need to implement the use-case in your fictitious
company. Discuss how the organization needs to change in order to work effectively with the new machine
learning-based solution. In particular, focus on the roles of the employees, their current and future work as well
as how they can be enabled to do that work. Show as well as how processes have to be adapted and how decision making will change. Formulate a plan how to work with key employees and roles as well as those who do not wish to change. Laying off workers or redundancies must be avoided in the change process.

Introductory Literature:
Donald, M. (2019). Leading and Managing Change in the Age of Disruption and Artificial Intelligence. Emerald
Publishing Limited. https://doi.org/10.1108/9781787563674
Helmold, M. (2020). Lean Management and Kaizen: Fundamentals From Cases and Examples in Operations and
Supply Chain Management, Springer.

Below goes the presentation guidelines:

Presentation Techniques
“A picture is worth a thousand words” is a well-known phrase. Pictures can be remembered twice as easily as
words. Presentations live from pictures and text and should support the presentation by visualization, thus
serving the comprehensibility. It is particularly important to provide a smooth passage
between single images. It is not enough to string one picture after the other without creating links.

Visualization in support of Comprehensibility
During the conception of the presentation, it should be considered what function each slide serves at this point
and how it can be explained best. At first, the whole slide is presented as an overview and then, details are
discussed. In case of graphics, the core statement is produced first, followed by technical (axis labelling, etc.) and detailed explanations, which conclude with a summary or a corollary of the statements.

Legibility
Almost all presentation programs use slides in landscape format. Graphics are easier to integrate and line breaks
are less frequent. The font sizes must be easy to read. It is recommended not to use more than 3 different font
sizes. For most situations, the following sizes apply: Title 22-24pt, subtitle 18-20pt, text 16-18pt.

Tips for Slide Design
− Pay attention to contrasting colors: light background, dark writing.
− The design of the slides should be concise and reduced to the essentials: Keywords, clear layout, less free
space. Less is more!
− Animations are used purposefully and sparingly for clarity.
− Print all slides in overview form as personal presentation notes.
− The presenter knows the next image.
− Short action titles (maximum 2 lines).
− Readable fonts, preferably sans serif fonts (e.g. Arial, Calibri).