Driving customer centricity with the Decision Cloud

Explore the Decision Cloud

In the retail arena, brands battle for differentiation, and customers seek exceptional service. The pivotal challenges lie in finding a retail technology solution that can aggregate high-volume, multi-channel data, understand consumer preferences, and help you strategically engage based on those preferences–all while safeguarding personal data. The Fosfor Decision Cloud solves for a broad range of retail-specific data and analytics use cases, empowering retailers to provide a personalized, omnichannel experience and, at the same time, uphold consumer trust.

Boost revenue through meticulous analysis and identification of sale trends
Optimize price and product offerings by integrating diverse data sources and constructing robust and predictive models using machine learning for retail-specific use cases.
Reduce costs by optimizing marketing spend and improving demand forecasting
Harness Decision Intelligence in retail technology solutions for effective stock management and strategic allocation of marketing budgets.
Elevate loyalty through proactive customer service
Uncover sentiment from customer reviews and employ what-if analysis to address underlying issues by effectively leveraging Generative AI for retail customizations.
Optimize operational overhead by reducing working capital and storage costs
Use machine learning to analyze retail supply chain data, build models to order on time, and deploy accurate human resources.

Industry Use Cases

Explore how the Fosfor Decision Cloud transforms operations and streamlines decision making across functions.

Campaign target audience prediction
Market basket analysis
Customer segmentation
Website analytics
Price optimization
Supply chain optimization (sustainability)
Customer churn analysis
Fraud analytics
Sentiment analysis
Demand forecasting
Stock out predictions
Markdown recommendations

Get inspired

See how leading retail organizations are creating value with the Fosfor Decision Cloud

Optimizing store sales using Fosfor on the Snowflake Data Cloud

Fosfor analyses over one billion item-level sales patterns for a leading F&B company to identify additional revenue opportunities with reduced dependency on analyst teams.

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Preventing fraud and POS losses for a Danish retailer

With a 360-degree one-click fraud dashboard, Fosfor helped a Danish retailer prevent fraud and shield from huge losses at POS.

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Monetizing customer loyalty for a global direct-to-consumer retail brand

Utilizing Decision Intelligence helped the luxury retailer enhance customer engagement and drive revenue growth.

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Industry insights for Retail

How can Retail and CPG companies utilize ChatGPT and Generative AI

OpenAI, an American artificial intelligence research laboratory, released ChatGPT on 30 November 2022, and there has been an uptick in interest around the world on AI-generated text, AI-generated images, and AI-generated video ever since. This interest has gained traction over time, fueled by the potential for it to change our lives forever - professional and personal alike.

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Revive retail sales with Fosfor + Snowflake + ServiceNow

There is no question that the COVID-19 pandemic has profoundly impacted the way traditional retailers or new-age eCommerce companies connect with and serve their customers—from capturing their attention online, to integrating service and delivery into a superlative customer experience.

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Market share and aisle share: Category analytics for CPG Industry

Consumer Packaged Goods (CPG) companies, rarely have visibility of their market, competitors, or selling patterns because they depend on retailers as their end-customer. The presence of retailers in the process of selling CPG products to end consumers creates the need for multiple varied data access for CPG companies.

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