Summary

 

  • Retailers today face increased challenges in keeping up with shifting consumer demand amid shrinking margins and volatile supply chains. 
  • A connected retail intelligence solution can play a vital role in understanding changing consumer behavior by processing vast amounts of data to identify patterns and insights and predict trends.
  • These AI-powered, connected insights enable retailers to make faster, more confident decisions with leaner teams.
  • Retailers can personalize experiences to stay relevant and build loyalty in an unpredictable market.

 


 

Introduction – The Modern Retail Challenge

 

Retailers in 2025 are operating in one of the most unpredictable landscapes yet. Global tariffs, inflation, and ongoing supply chain disruptions are putting pressure on margins. 

On top of all of this, consumers are changing faster than retailers can keep up. Customers are less loyal and more discerning. 

Traditional methods of tracking performance or researching trends aren’t enough. To compete and preserve margin, retailers need connected, real-time insights that help them protect profit while staying relevant to customers. 

That’s where connected retail intelligence comes in.

 

The Changing  Retail Landscape – How Retailers Can Keep Up 

 

Consumer priorities are shifting faster than ever as people adjust to the uncertainty and unpredictability in the world – a pandemic, the political climate, and economic conditions. 

According to Accenture, “Up to 64% of consumers wish companies would respond faster to meet their changing needs, while up to 88% of executives think their customers are changing faster than their business can keep up. This mismatch puts retention rates at risk and constrains companies’ efforts to attract new customers.” 

Accenture’s report highlights that the way forward amidst this turbulence is to have a more holistic understanding of your customers. While this may seem obvious, to truly understand your customer in these changing times and the nuances of their buying behavior and preferences, you need both real-time and historical data combined with advanced AI technology to surface precise, connected insights. 

 

The Role of Retail Intelligence  

 

Your customers provide enormous amounts of data every time they purchase from you and your competitors, and an AI platform can process this vast amount of data combined with market data your internal data to surface the insights you need to make profitable adjustments. 

These AI retail platforms identify patterns, uncover hidden insights, and predict future trends.

By automating data collection and analysis across billions of SKUs, competitors, and customer interactions, retailers can:

  • Spot opportunities early with real-time market and trend insights.
  • Protect margins with smarter pricing and promotional strategies.
  • Stay relevant with assortments aligned to what customers actually want.

Unlike fragmented tools, EDITED’s Retail Intelligence Solution combines market data, customer signals, and internal performance into a single connected view. This helps teams make faster, more confident decisions and devise creative solutions that cater to their customers’ changing needs. 

 

From Endless Options to Curated Experiences 

 

Along with the ability to draw insights from a plethora of data quickly enough to react to changing preferences, another benefit of a retail intelligence solution is being able to simplify options amidst the chaos of life.

Accenture reports that, “What customers ultimately need is simplicity. They are drawn to anything that cuts through the noise and makes their decision-making—and their lives—easier.”

Businesses aiming to stay relevant must focus on clearing the path for consumers to navigate easily. This is where personalization, fueled by AI and data, comes into play.

Through AI, businesses can create personalized recommendations, tailored marketing, and customized shopping experiences. This process not only simplifies the consumer’s decision-making process, but also makes them feel understood and valued. AI can analyze data to identify individual preferences and deliver tailored content and product suggestions.

 

Customer-Centric Insights That Drive Profitability   

 

Retail teams are being asked to do more with less. Smaller teams face tighter deadlines, yet expectations for precision have never been higher.

Simplifying decisions for your customers is crucial to being customer- and life-centric, and at a time when retailers are under more pressure than ever, AI technology makes you life easier, too.  

With EDITED’s advanced AI and comprehensive data, retailers gain a unified view across the market, internal performance, and customer behavior. This means you don’t just see what’s selling, you see who your most profitable customers are, what they’re buying, and determine what they’ll want next.

Instead of wasting time you don’t have merchandising to low-value segments, you can personalize assortments, pricing, and promotions for the customers who drive your business forward.

By combining automation with actionable insights, EDITED simplifies decision-making while magnifying its impact. Teams gain the speed they need without sacrificing accuracy, making confident, customer-centric decisions that protect margins and deliver growth.

 

Embracing Retail Intelligence: The Path Forward 

 

The solution to the ever-widening gap between businesses and their customers lies in embracing AI and data

To stay relevant and meet the changing needs of customers in a rapidly evolving world, businesses must take a holistic approach.

By bringing together internal, market, and customer data, EDITED’s AI retail solution empowers you to: 

  • Anticipate market shifts and invest in the trends your customers want.
  • Protect margins by pricing smarter and focusing on your most profitable customers.
  • Deliver assortments and experiences that resonate with the customers who matter most.

Book a demo today and see how EDITED helps retailers stay customer-centric and profitable, even in unpredictable times.