Transformational Analytics for Retail

SparkBeyond Discovery

AI analytics empowers retailers with global solutions that are personalized and locally relevant, while providing data-driven keys to unlock product innovation.

Meet your customers where they are

Granular customer segments ensure accurate, personalized communication, pricing and promotions, while driving hyper-local assortment of products and services.

Thrive with omnichannel fulfilment

Forecast channel volumes, trigger alerts, and prioritize KPI-based actions with automated predictive inventory-optimization and forecasting tools.

Use data to get your pricing right

Determine the best price using granular item data, customer segments, traffic flow, seasonality, and insights on competitor and social media trends.

Make the most of bricks and mortar

Transform your store portfolio by pinpointing specific geographical areas with high potential for profitability and campaign effectiveness.

3 ways AI will revolutionize brick-and-mortar retail

The retail landscape has completely shifted since its installment in the early 20th century. Today, the industry offers customers a limitless variety of choices while it continues to change.

Scaling-up analytics: what major CPGs are doing right

How do successful analytic teams scale impact? Instead of being stuck with pilots and eking out small wins, learn how AI analytics at leading consumer goods companies are making an enterprise-wide difference.

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Applications for SparkBeyond Discovery in Retail

Location Optimization

Pinpoint the best locations to yield the most optimal customer experience and business results.

Demand Forecasting

Analyze enormous volumes of various data to forecast demand, supply, quality issues, and market trends.

Campaign effectiveness

Identify the right potential customers, shape the right message and pinpoint the best delivery methods.

Operational efficiency

Analyze operational management — supply chain, logistics, field — and determine new factors that affect performance.

Cross-sell and upsell

Use granular customer insights to accurately predict the most effective product or service.

Automated Hypothesis Generation

When machine-learning systems produce ideas, not just test them.

Read on

Generative AI for data analytics: the future of enterprise sense-making

In the case of enterprise data analytics, generative AI will radically change the way we interrogate our data to explore, react to and shape our business realities.

Generative AI for data analytics: the future of enterprise sense-making

New data models for a new world

Nearly all existing models have been invalidated by the coronavirus pandemic. They will presumably be invalidated again as the situation evolves as the world recovers. Even after recovery, it is unlikely that we will return to where we started before the crisis began. So how does that affect our data models?

The Game Changers: AI in Banking

AI analytics helps major banks stay connected to their customers – especially during the dramatic rise of online financial management use. As leading banks apply a range of strategies to navigate the new normal, AI analytics is opening greenfield opportunities to raise profits, combined with agility and ethical responsibility.