Retailers must continually and responsibly reset the business to thrive in a world that’s changing fast. From consumer behaviors and market trends to competitive dynamics and the economic outlook, today’s reality is unlikely to be tomorrow’s. Retailers are grappling with factory shutdowns, stressed supply chains, sourcing scarcity, and even extreme weather. This is the nature of modern retail. And it will be from now on.
While retailers are swimming in data that can help them make sense of this complex landscape, functional silos and a lack of strong data governance make it difficult to get enterprise-wide data insights. So retailers are missing the big picture—they need to be truly data-driven and realize their retail digital transformation.
Data-driven retailers don’t just have data. They continually unlock value from it to advance the business. ai.RETAIL provides transparency, agility and flexibility with retail-driven advanced analytics through a flexible and scalable platform.
Total visibility: Create one version of the truth
Rely on a flexible, common data model built for retail to provide a shared framework for developing all business use cases.
Customer centricity: Put the customer at the core
Generate a 360-degee customer view with internal and external data, analyze customer behavior, and drive powerful personalization.
Bias for action: Turn data into responsible actions
Move fast with predictive, prescriptive insights and detailed scenario simulations. Test and learn more quickly to refine use cases.
Data-savvy workforce: Empower all people with data
An intuitive dashboard allows everyone to access data and understand their own role in reaching desired outcomes and recommended actions to get there.
New business models: Data as a competitive asset
Use valuable customer data to generate new revenue streams by selling granular insights to suppliers that want to optimize to their offerings.
Customer profit and revenue
Create a granular customer view to understand customer profitability, loyalty and buying behaviors for each interaction.
Dynamic merchandising and assortment
A customer-centric approach to optimize assortments, channels and space to delight customers and drive growth.
Supply network, analytics and profitability
Combine internal and external data for complete visibility. Create a supply network digital twin to mitigate risks.
New business models
Monetize your data and share key insights with valued suppliers. Establish marketplace platforms with optimized customer targeting.
Data-driven retailers are able to keep up with changing consumer behaviors, market trends and competitive dynamics. But many retailers are data-rich but insights-poor due to functional silos that make it difficult to get enterprise-wide data insights. Learn how ai.RETAIL can help retailers get more out of their data by bringing strategy, artificial intelligence (AI) and technology together for a single view of the customer and the enterprise.