Predictive AI

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AI-Powered Predictive Analytics for Retailers

Get a clear view into the future with predictive analytics powered by artificial intelligence and machine learning.

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What is Predictive Analytics?

Predictive analytics uses artificial intelligence (AI) to find patterns in historical datasets. By employing predictive models, retailers can foresee and act upon future events in the customer journey. No human interaction necessary.

Benefits of Using Predictive AI in Retail

AI-powered predictive analytics use data to improve the relevance and profitability of your data-driven 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. Further, you can even surface latent needs that the customer doesn’t even recognize yet. See exactly how predictive analytics help 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.

Surface Latent Customer Needs

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.

Provide 1:1 Personalization for Every Visitor

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 a lost buyer.

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

Intelligent Multi-Channel Automation

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%.

Unified Personalization Platform

Reinforce Loyalty with Smart Replenishment

Predict when a customer is ready to buy again by tracking their individual purchasing cadence. Sending these proactive reminders can help discourage attrition and boost sales.

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

Surface Latent Customer Needs

Preserve Margins by Predicting Discount Affinity

Some customers need a special offer to buy – others are less price sensitive. 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.

Surface Latent Customer Needs

The Power of Bluecore’s Predictive AI

Scalable

Scalable

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

Simple

Our platform is as simple as possible and as powerful as you need. Choose from a variety of customizable templates and integrate new functionalities with a single click. No data science expertise required.
Speedy

Speedy

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 Responding Proactively to Consumer Needs

Retailers need to make the power of predictive analytics work for them. Bluecore’s innovative platform will elevate your engagement strategy and drive enhanced retail relevance. If you’d like to see how it works, fill out the form on the right and we’ll be in touch shortly.

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