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Data Trends 2025: Retail & CPG
From hyper-personalized marketing to intelligent demand forecasting and dynamic pricing, AI transforms the retail value chain.
Grow your business and deliver meaningful consumer experiences while lowering costs with an agile supply chain and efficient operations.
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AI Data Cloud for Retail & Consumer Goods
Strategic retail and CPG leaders trust the AI data cloud


















Overview
The AI Data Cloud for Retail & Consumer Goods enables an easy-to-use, connected, trusted environment so you can manage consumer, product and supply chain data and accelerate business growth with AI.
Use a single cloud service for all your data and AI needs that’s easy to manage even for lean data teams, highly elastic for seasonal peaks, and boasts built-in AI to power innovation.
Seamless zero-copy sharing across Marketplace data providers gives instant access to the geospatial, commercial and demographic data that helps power intelligent decisions and streamline retail operations.
Snowflake provides built-in, unified governance, security and business continuity so you have full control over consumer data and can help enable GDPR, CCPA and PCI compliance.
Use Cases
Consumer 360 and personalization
Revenue management
Agile Supply Chain
Actionable data insights
Maximize customer value
Consolidate all consumer interactions into a single, unified profile to understand customer buying behaviors, preferences and engagement history.
Enable hyper-personalized experiences to drive customer loyalty and increase customer lifetime value.

Accelerate business growth
The AI Data Cloud combines your internal business data with external market data, applies AI-powered predictive analytics and integrates actionable insights seamlessly into your existing decision-making processes.

Optimize costs
Gain end-to-end visibility across supply chain operations to upgrade inventory and logistics, reduce waste and adjust quickly to demand fluctuations.

Empower decision makers
Enable transparency, streamline decision-making, and foster a data-driven culture across the organization by delivering trustworthy data insights that every leader can act on.

CUSTOMERS
Kraft Heinz
Petco
Pepsico
HelloFresh
Tapestry

Kraft Heinz Drives Data Collaboration with Retail Partners
Kraft Heinz leverages Snowflake data sharing to collaborate with retailers and distributors, driving efficiencies throughout supply chain operations, reducing revenue loss and improving profitability.


Petco Unleashes New Revenue Opportunities and Savings
Petco created a 360-degree view of its customers, relying on Snowflake to help it tame the terabytes of data pouring in from millions of monthly web visitors and more than 1,500 retail locations.

PepsiCo Builds In-House Digital Capabilities with the AI Data Cloud
PepsiCo is leveraging Snowflake’s AI Data Cloud to consolidate 60+ data sources, power advanced analytics, gain deeper insights about its media landscape and measure ad ROI.


Retail and Consumer Goods
HelloFresh Makes Meal-Planning Easy with Insights from Snowflake’s AI Data Cloud
HelloFresh relies on real-time data to inform strategy, enhance operational efficiency and gain granular customer insights.

Retail and Consumer Goods
Tapestry Builds Its Own Customer Analytics Platform on Snowflake
Tapestry relies on Snowflake for seamless data sharing and rich customer insights that improve strategic decision-making.

Tap into our partner ecosystem for the services and solutions needed to unlock the full value of Snowflake.

Resources
Get Started
SNOWFLAKE FOR RETAIL & CPG
Your top questions about getting started with Snowflake for retail and consumer goods.
The Snowflake AI Data Cloud is a unified data platform that enables retailers and consumer goods companies to centralize, share, and analyze all their data — powered by built-in AI and ML capabilities to drive insights and automation. Its powerful data and AI technologies are supported by a robust ecosystem of data, technology, and service partners to implement the most sophisticated solutions.
The Snowflake AI Data Cloud for Retail & CPG offers retailers and CPG brands a unique technology for data management, analytics and AI innovation.
Our offering is easy –a single cloud service for all your data needs, simple to manage even with a lean team, which can be common for retailers and consumer brands. AI Data Cloud is highly elastic, scale up effortlessly to handle seasonal peaks and scale down to optimize costs. With integrated AI models, innovation is built in and easily accessible.
The AI Data Cloud is connected, enabling seamless zero-copy data sharing across a broad ecosystem of Snowflake Marketplace providers. This gives you instant access to geospatial, commercial, demographic, weather, and other types of data that can help you plan merchandising, optimize your supply chain and streamline operations across the business.
The AI Data Cloud is trusted. With built-in, unified governance, security, and business continuity at scale, you have complete control and confidence.
1. Unify data for AI readiness.
Retail and CPG companies often have data scattered across POS systems, eCommerce platforms, ERP, CRM, supply chain tools, marketing systems, and external sources like syndicated market data or weather feeds.
Snowflake centralizes this data - structured, semi-structured, and unstructured into a single, secure environment. With the AI Data Cloud for Retail, brands can blend first-party, third-party, and partner data without duplication, enabling a 360° view of customers, products, and operations that AI models use for insights, personalization, and intelligent automation.
2. Enable high-impact AI use cases
With unified and trusted data, AI becomes a practical driver of value, including:
Demand forecasting: Train models that combine historical sales, promotions, market trends and external signals to improve forecast accuracy, reducing stockouts and excess inventory.
Personalized marketing & offers: Deliver real-time, AI-driven product recommendations, targeted promotions and loyalty program enhancements to increase basket size and retention.
Assortment & pricing optimization: Use AI to recommend the right product mix for each location, and optimize pricing to balance margin and competitiveness.
Supply chain visibility & risk management: Predict disruptions, recommend alternate sourcing and optimize logistics routes based on cost, lead time and service level.
Customer service automation: Power AI agents that respond faster and more accurately by using unified, up-to-date product and customer data.
3. Bring the leading LLMs and AI/ML models to your Data
Snowflake directly integrates the leading AI/ML frameworks and LLMs, allowing your data teams to build, train and deploy models without moving data out of Snowflake. This reduces complexity, improves security and shortens the cycle from data to AI-powered action.
4. Leverage the latest Snowflake AI and Agentic AI capabilities to power innovation.
Snowflake Intelligence : Use Snowflake Intelligence to better understand your data and unlock business insights. Democratize intelligence across your organization with all your data in one place, deep analytics capabilities and self-service, real-time insights you can trust.
AISQL: Use Cortex AISQL in Snowflake to run unstructured analytics on text and images with industry-leading LLMs from OpenAI, Anthropic, Meta, Mistral AI, and DeepSeek.
Cortex AISQL supports use cases such as extracting entities to enrich metadata and streamline validation, aggregating insights across customer tickets, translating and localizing multilingual content, parsing documents for analytics and RAG pipelines and more.
Document AI: Use Document AI to easily extract complex data from documents of various formats, pulling information from text-heavy paragraphs and graphical form, including logos, handwritten text, tables and more. Prepare pipelines for continuous processing of new documents with zero-shot extraction and fine-tuning.
Snowflake AI Data Cloud for Retail empowers industry leaders to achieve their top business objectives:
Drive revenue growth by consolidating consumer data to deliver personalized, meaningful experiences that strengthen long-term customer loyalty. Power pricing and merchandising decisions with end-to-end data analytics and unlock new revenue streams, such as retail media.
Optimize costs with greater supply chain transparency, resilience and agility. Streamline and automate retail store and back-office operations to enhance efficiency.
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