Kyndryl’s GenAI for consumer goods and retail evaluation

Kyndryl is there AWS Premier Tier Service Partnerand together we focus on helping businesses grow with our industry-specific solutions.

Kyndryl has signed a multi-year strategic collaboration agreement with AWS to accelerate customer adoption of generative AI solutions. This includes creation Kyndryl and AWS Innovation Factorywhose goal is co-creation Generative AI and ML solutions tailored to industry applications including – consumer goods (CPG), retail, quick service restaurants (QSR), grocery and B2B distribution space.

As part of this evaluation, Kyndryl Consult will help organizations provide a strategic and delivery approach, technology stack assessment and future state recommendations. Kyndryl’s Generative AI assessment includes: comprehensive current state assessment, target operating model (TOM), high-level reference architecture, and building a transformation roadmap for quick wins.

Key retail and consumer goods use cases include:

• Conversational commerce, marketing and hyper-personalization
• Supply chain optimization, order management, inventory and transport management
• Intelligent warehouse and operational analytics (AIOps/MLops)
• Retail planograms and revenue growth management
• Consumer and employee experiences

To enable GenAI features, you need to start by setting up the right database platform, ensuring data quality, security, and governance. We recommend –

• Initial assessment to identify and evaluate all source data
• Build a data foundation platform and ensure data quality across all business entities
• Analyze data sources for compatibility with AI/ML tools and platforms
• Fix master data issues and recommend data cleansing
• Explore the best-in-class technology solutions organizations can leverage using AWS technologies – Bedrock, Amazon Q, QuickSight, SageMaker and more.

Action plan and recommendations –

• Recommendations on appropriate data platforms, AI solutions, frameworks and tools for identified use cases
• Documentation of recommended solutions, opportunities, threats and limitations.
• Identifying areas where data, analytics and artificial intelligence can drive business growth, efficiency and innovation
• High-level reference architecture leveraging existing technology investments
• Develop an implementation plan that includes overall timelines, resources and dependencies
• Publish reports containing priority use cases, recommendations, findings, highlighting the benefits and challenges of recommended solutions
• Proof of Concept (POC) proposal for applicable/priority use cases