AI-powered predictive analytics for retailers.

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What is predictive analytics?

Predictive analytics uses artificial intelligence (AI) to find patterns in historical datasets. By using predictive models, retailers can foresee and act upon future events in the customer journey — no manual efforts needed.


Benefits of using predictive AI in retail.

Predictive analytics uses data to improve the relevance and profitability of marketing outreach. If you can predict what a customer is going to do next or what they’re most interested in, you can be the first to respond to their needs as they arise. You can even surface latent needs that the customer doesn’t even recognize yet. Predictive analytics helps retailers deliver relevant experiences.

Send relevant product recommendations.

Matching predictive shopper data with product catalog data will help you uncover relevant product recommendations. Start creating demand by introducing customers to new and interesting products.

See a 16% increase in email revenue with personalized product recommendations.

Email and Mobile Marketing

Improve engagement by optimizing send times.

Determine when individual customers are most likely to engage, down to the minute. Then, automatically orchestrate and send outreach at the best possible moment for each one.

Coordinate email mobile and site in one platform

Prevent churn by targeting at-risk customers.

Identify individual at-risk customers early by studying their unique buying cadence. Then, retain them by sending relevant outreach long before they become lost buyers.

Increasing retention rates by 5% can increase profits by 25-95%.

Maximize revenue by predicting customer lifetime value.

A customer’s historical spending data is only part of the story. Find and target your most profitable customers using a variety of leading indicators, providing a more accurate vision of their lifetime value.

Targeting based on customer lifetime value improves media buy ROI by 56%.

Predictive models at your fingertips

Reinforce loyalty with smart replenishment.

Predict when a customer is ready to buy again by tracking their individual purchasing cadence. Sending proactive reminders discourages attrition and boosts sales.

Increase revenue per email by 59% with timely replenishment reminders.

Built-in predictive models

Preserve margins by predicting discount affinity.

Some customers need a special offer to buy, and others are less price-motivated. Protect your bottom line by only sending discounts to those who need them.

Improve RoAS by 17% by only sending offers to shoppers with a high discount affinity.

The power of Bluecore’s predictive intelligence.


As your stores of customer, behavior, and product data expand, Bluecore will keep pace. Your predictive capabilities will only become more powerful over time.


Our platform is as simple as possible and as powerful as you need. Choose from multiple customizable templates, and integrate functionality with a click — no data science required.


Your email campaigns need to respond to change in real time. Bluecore automatically collects new data and discards irrelevant data, driving more relevant outreach.

Start seeing the future.

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