Transformational Analytics in CPG

Discovery in CPG

For the globally-minded, locally-connected CPG leader, AI analytics provides a dynamic and flexible approach to strategic planning, with the ability to course-correct easily and fast.

Give customers the attention they expect

Anticipate individual consumer preferences and demand shifts, while personalizing promotions and communications using a data-driven 360-degree view.

Streamline product launches

Empower the sales force with geospatial intelligence: location optimization, range selection, and trend analytics using IoT, transaction, and external, real-world data.

Target your marketing spend

Pinpoint marketing efforts with a centralized view of budget-spend, with ongoing omnichannel analysis across all channels and devices.

Stay ahead of demand fluctuations

Analyze drivers of SKU-sellout data to optimize the supply chain, and augment macroeconomic variables with consumer sentiment.

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.

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.

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Applications for SparkBeyondTM Discovery in CPG / ecomm

Customer retention

Accurately identify customers at the highest risk of lapse for effective, personalized retention campaigns.

Location Optimization

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

Cross-sell and upsell

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

Operational efficiency

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

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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.