Inventory Analytics – Executive Workbook & Insights

Gopal Chopperla

1. Which dataset did you use?

Inventory Transaction Dataset provided by Oracle

2. How did you analyze or prepare the data?

Analyzed the dataset using Copilot and requested for useful metrics which normally an Inventory Operations Manager tracks and presents to Executive leadership team. Also used Narrative feature, Insights & AI - Assistant.

3. Who is the intended audience for your visualization?

• Supply Chain & Operations Leadership
• Inventory & Distribution Managers
• Finance / Costing Teams
• Analytics & OAC Development Teams

4. What is your visualization about, and what question or problem does it address?

My visualization enables stakeholders to answer the following questions:

1. How fast is inventory moving across items and locations?
2. Where are we facing stockout risk or negative coverage?
3. Which inventory is aging or inactive?
4. Which items and locations drive the highest cost per unit?
5. Where should planners prioritize intervention?

5. Did you use any Oracle Analytics AI features when building your visualization (ex. AI Assistant)? If so, please describe how they were used

Yes , I used few built-in insights and requested AI-Assistant to build my metrics/chars which I received via copilot and used in my visualization.

6. Did you upload your visualization image and dva file?

Completed!

DVC26_InvTran_WB_byGC270226.dva

DVC26_InvTran_WB_byGC2.png

DVC26_InvTran_WB_byGC1.png

Bhaskar Konar

This is a comprehensive and well-structured executive dashboard. The inclusion of narrative panels adds strong executive context.

Great Work and Thanks for sharing @Gopal Chopperla!

Anna Pietrangelo

Thank you @Gopal Chopperla for sharing!

I would recommend adding more charts and less text. Regardless of the audience, a good chart tells a powerful story.

Gopal Chopperla

Noted and thanks for this suggestion @Anna Pietrangelo