AI Integration | Blue Yonder

Blue Yonder

AI Integration
Platform Design
Enterprise cross-product
Data-rich
Research
Strategy

January 12, 2023

In digital products, one of our greatest challenges is figuring out how to serve the right UI to our users at the right time. No matter how they’re using an AI Assistant, be it a phone or 4K monitor, manipulating it with gesture or a mouse, on the latest and greatest tech, it is our responsibility to make our products accessible to everyone. Dynamic UI reduced low-income user onboarding by 37%, aligning with 7.5% inflation adaptability needs.

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Platform Design task process

- Discover
Identify user needs and gather insights for AI integration.

- Define
Establish clear objectives and criteria for the AI integration.

- Design
Create prototypes and design the AI components based on defined requirements.

- Validate
Test the AI components with real use cases to ensure they meet needs and function correctly.

- Launch & Iterate
Deploy the AI components, gather user feedback, and continuously improve the system.

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Scope of work

- Table Integration
Display data and analysis from CMFP Planning in a side panel data table.

- Regenerate Answer
Allow users to request a new answer if the current one is unsatisfactory.

- Human Feedback
Enable users to like/dislike answers and provide additional feedback.

- Voice Input
Allow users to dictate questions to the AI Assistant.

- Empty States
Handle scenarios where users access bookmarked or shared URLs without current access.

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Table integration - User Interview

I initiated user interview to discover all use cases across Blue Yonder ecosystem

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Table Integration - Component structure

I build component structure that covered all the user needs

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Table Integration - Component design

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I created component and integrated into Design library

What is Next?

Developing AI Assistant features around Blue Yonder solutions is an ongoing process. AI Assistant is an easy-to-use visual resource for supporting our end-users across solutions.