Cross-Enterprise AI

What is Cross-Enterprise AI?

Enterprise AI solutions today largely fall into two categories. They’re either designed for specific point solutions, or they’re general-purpose solutions that require millions of dollars of consulting and professional services to implement.

Cross-enterprise AI is different.

It’s automated technology that enables enterprise leaders to discover and unlock significant growth opportunities hidden between functional silos:

How do you drive new growth?
How do you make all parts of an enterprise work together?
How do you deal with nimble competitors?
How do you continuously adapt to rapidly changing markets and consumer preferences?

The stakes are enormous: In retail alone, it’s estimated that companies lose $1 trillion to out-of-stock items (a silo problem) while customers can find the same products online.

The solution isn’t to tear down the silos: It’s to leverage and transform them into pillars that support and enable new growth. Cross-enterprise AI does that by bringing together data from across the enterprise, regardless of location or format, in a secure private cloud. Then it adds external data – on customer segments, locations, distribution models, and many other variables—to create a completely new and unified model of your business and markets. Cross-enterprise AI deeply analyzes this information, uncovers new revenue opportunities that you could never see before, and gives you a set of predictions and targeted recommendations.

These insights can be automatically fed back into enterprise systems as instructions – for example, changing the product mix delivered to an individual store to maximize sales. And because cross-enterprise AI learns continuously, it quickly senses changes in market conditions and adapts its predictions and recommendations accordingly.

XEM™ — r4’s cross-enterprise AI product — can be up and running, and starting to deliver value, in just a few months. That’s because r4’s experience with clients across multiple industries—including CPG, retail, finance, technology, and media —has enabled us to build a library of uses cases that apply to almost every enterprise. That means r4 needs significantly less customization than general-purpose AI solutions. It also makes implementation less expensive, because the need for many months of consulting is eliminated. With r4, you’re buying a product—not a long-term professional services engagement.

Cross-enterprise AI can also replace high-priced “digital transformation” projects that attempt to recreate or replace existing business systems. These projects take years, cost millions of dollars, and often fail. Instead, cross-enterprise AI enables you to keep your existing systems and organizational structure – and the stability they provide – while also providing you with the agility to sense and respond to the market in real time.