AllCloud’s GenAI for Retail and Consumer Goods Assessment

As AWS Global ML/ AI Partner of the Year for 2023, AllCloud has the expertise and commitment to help retail and consumer goods organizations drive innovation, build unique solutions and accelerate their cloud journey.

By the end of the assessment, organizations will have a clear understanding of what they could achieve with various generative AI and ML use cases specific to retail and consumer goods, along with a roadmap for implementation. AllCloud’s consultants also provide specific direction on a delivery approach and tools needed. Assessment deliverables can be fully customized based on particular requirements and objectives. Top retail and consumer goods use cases include:

• Sales and product data analysis
• Personalized offergs
• Chatbots for customer service
• Inventory management optimization

AllCloud’s Generative AI assessment includes a full evaluation of current state, goals and will deliver a roadmap for success. Specifics include:

Executive Visioning and Alignment

• Visioning session for executives
• Generative AI technologies overview
• Executive priorities and pain points analysis for AI/ML adoption
• Alignment of AI/ML initiatives with strategic goals
• KPIs and success metrics for AI/ML implementation

Data Source Audit and Analysis

• Identify and evaluate relevant existing data sources
• Conduct an initial assessment of data quality for customer provided data
• Analyze data sources for compatibility with AI/ML tools and platforms
• Highlight issues or recommend data cleansing if required
• Review how organizations can incorporate AWS technologies such as Bedrock and Amazon Q.

Roadmap and Recommendations

• Recommendations for suitable data platforms, AI platforms, frameworks, and tools for identified use cases
• Documentation of recommended solutions' capabilities, risks, and limitations.
• Identification of areas where predictive analytics can drive business growth, efficiency, and innovation
• Development of an implementation roadmap with high-level timelines, resources, and dependencies
• Presentation of findings to leadership, highlighting benefits and challenges of recommended solutions
• Proof-Of-Concept (POC) Proposal for applicable/ prioritized use cases