Retail Performance Management Health Check

Reading Time: 10 Minutes
retail performance, retail data, retail tech, machine learning, data-driven

Grocery is a highly competitive retail vertical. Shoppers have endless choices when it comes to where to shop and what to buy. To earn and maintain loyalty with shoppers, grocers must deliver value through sharper pricing, strategic promotions, convenient experiences, and relevant assortments.

Because of the pressure to compete, grocery retailers are accelerating their technology adoption – adding automation and AI that scans market prices, anticipates demand and elasticity, and respond faster than ever before.

Retail performance management is about ensuring every decision, from pricing and promotions to assortment, creates measurable value for shoppers and profit for the business.

Leading grocery retailers are using data-driven, science-backed tools to:

  • Set every price “just right” across stores and channels
  • Compare price, promotions, and assortment against competitors in real time
  • Balance promotions with category performance
  • Execute consistent, compliant pricing and promotions

In today’s market, success requires visibility, confidence, and speed to act.

10 Critical Questions to Ask When Evaluating Retail Performance

Use these questions to identify where your revenue operations can improve:

  • Are you able to identify your omnichannel competition? 
  • Do you know what products your competitors carry (and those they don’t)? 
  • Can you evaluate which of these products would be worth adding to your shelves? 
  • Can you filter your pricing data by zip code? By price per unit? By average competitor price? 
  • Can you easily identify pricing recommendations with pricing rules based on desired business outcome (margin, profit), competitive price changes, or inventory levels? 
  • Are you confident in your product matching? Is it scalable? Do you have blind spots with private label or fresh products? 
  • Are you monitoring your competitors’ promotions? Promotional frequency? Promotional depth? 
  • Can category managers easily understand and react to category performance and differentiators?  
  • Are you confident in the decisions you make based on the competitive data you have? 

We hope you answered “yes” to all of these questions, but if not, there are incredible automation capabilities available to you.  

Keep reading to learn more. 

How Grocery Retailers Use AI and Machine Learning to Improve Performance

AI and machine learning aren’t just buzzwords, they’re the backbone of your retail performance! When used correctly, AI/ML automate manual tasks, surface insights, and help teams act faster with confidence.

1. Price Optimization

Understand demand and predict shopper response to price changes. With science-backed price optimization, you can balance profit, price image, and competitive position — all while maintaining business rule compliance.

Price, CPI, ClearDemand pricing optimization for retail

2. Promotion Optimization

Plan smarter promotions by forecasting performance and isolating true lift. You can test scenarios, align offers with category goals, and reduce unprofitable discounts.

3. Assortment Optimization

Identify gaps and overlaps in your assortment. By combining internal sales data with competitive visibility, you can tailor selection by store, region, or banner to meet local demand while improving overall profitability.

4. Competitive Intelligence

Reliable competitive data is foundational to pricing and assortment decisions. Machine learning improves product matching accuracy — even across private label and fresh — so you can monitor real-time competitor prices, promotions, and trends with confidence.

Product matching, grocery product linking, grocery competitive intelligence

When these AI-driven solutions work together, grocery teams move from reactive decisions to proactive, profitable strategies.

Grocers Use Pricing Intelligence to Improve Performance

Pricing intelligence is one of the most immediate levers grocers can pull. It enables teams to:

  • Protect price image on key value items (KVIs)
  • Maintain profitability while staying competitive
  • Respond quickly to competitor moves without guesswork
  • Test promotions in advance to forecast outcomes

ClearDemand delivers the only AI-powered retail performance platform built specifically for grocery. Our solutions are grounded in science, trusted by leading retailers, and proven to drive measurable margin gains.

Price Optimization: Find the “sweet spot” between profit and perception.

Promotion Optimization: Make every deal profitable.

Competitive Intelligence: Stay one step ahead with reliable, real-time data.

Win the Market

Across the U.S., more than 60,000 supermarkets and grocery stores compete for shoppers’ attention. From Walmart’s national scale to Aldi’s value reputation and Kroger’s $148B in annual sales — the race to earn customer loyalty has never been tougher.

The differentiator isn’t size — it’s strategy.
Winning retailers are those using AI-powered visibility, automation, and optimization to guide every pricing, promotion, and assortment decision.

When technology drives how you collect data, match products, model demand, and act on insights, you’re not just keeping up — you’re building loyalty through smarter, more intentional strategies. Shoppers notice when pricing feels fair, promotions are relevant, and value is consistent across channels.

To win your market, you need visibility into competitive moves, agility in your operations, and confidence in every decision. That’s where ClearDemand comes in.

“We see grocery stores of all sizes leveraging advanced technologies like AI and ML to influence shoppers. Embracing technology doesn’t have to be scary, it’s an opportunity,” says VP of revenue growth at Bungee Tech, Matt Shachter. (Bungee Tech is now ClearDemand.) “Big data isn’t just for enterprise retailers. AI isn’t just for big teams. These are accessible tools that drive a successful retail performance and growth strategies.” 

The takeaway: you don’t need a massive data science team to compete like one. With ClearDemand, every retailer can connect competitive intelligence, pricing science, and promotion optimization into a single system that delivers results — more profit, stronger price image, and faster speed to market.

👉 If you’re interested in learning more, reach out to our team. 

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