Gurhan Kok founded invent.ai in 2013 to create advanced inventory planning solutions for retail.
Most established retailers are used to market fluctuations. However, with recent trade tensions, rising tariffs and inflation, it’s becoming harder for retailers to maintain pricing strategies that balance customer affordability and business sustainability.
Obsolete, traditional pricing methods struggle to keep up with these rapid changes. AI-driven solutions are stepping in to transform how retailers approach pricing, manage inventory and maintain revenue growth despite economic pressures.
The Effect Of Tariffs On Retail Pricing
As tariffs shake up the global supply chain, they’re increasing the cost of goods and forcing retailers to adjust prices. Recent tariffs on regions like China, Mexico and the EU are forcing brands to reconsider their sourcing and pricing strategies.
A recent report from the National Retail Federation (NRF) shows that some retailers are in a race to bring in as much merchandise into the U.S. as possible before tariffs rise even higher. In February, the presidential administration announced a 10% tariff on goods from China—which increased to 20% in March—and a 25% tariff on goods from Canada and Mexico, which was put on hold until April. While many retailers have already begun to diversify their supply chains, many still rely on these countries for goods, making these tariffs unavoidable.
The challenge isn’t just about absorbing these costs—it’s about determining how much of the burden to pass onto consumers without infringing on customer satisfaction. Fortunately, artificial intelligence is making it easier for retailers to optimize their pricing strategies, effectively manage inventory and maintain revenue growth despite economic pressures.
AI-Driven Pricing Optimization
While traditional, outdated pricing strategies rely heavily on historical data and manual adjustments, AI-powered solutions analyze real-time market data, competitor pricing and consumer behavior, allowing retailers to develop dynamic, data-driven pricing strategies. A McKinsey & Company study found that AI-driven dynamic pricing strategies can boost revenue by over 5% and improve profit margins by 4% to 8%.
At invent.ai, we’ve seen the power of AI pricing optimization firsthand. Recently, a global fashion retailer was hit by an unexpected tariff increase on essential textile imports from China. In response, the company leveraged our AI-powered dynamic pricing to test different scenarios and identify optimal price points that balanced revenue protection with consumer purchasing behavior. Instead of blanket price increases, our platform allowed the retailer to adjust pricing in real time based on demand elasticity, competitive pricing trends and customer buying patterns.
Other major retailers are using AI to optimize pricing and inventory, too. Walmart has implemented AI to adjust product pricing and distribution strategies, helping it mitigate the repercussions of tariffs and rising costs. Similarly, Amazon uses AI to monitor competitor pricing and make real-time adjustments to stay competitive.
Target is also leveraging AI to improve forecasting, inventory positioning and decision-making across its wide range of products. With ongoing supply chain disruptions creating more uncertainty, Target’s tech investments are helping them prioritize key items, avoid overstocks and keep stores stocked with what customers want. Best Buy is taking a similar approach, using AI-driven strategies to optimize inventory and pricing, allowing it to make better decisions about which products to prioritize and which to scale back.
AI: The Future Of Retail Pricing
As retailers continue to navigate inflationary pressures and supply chain disruptions, AI helps businesses stay ahead of market changes, integrating pricing strategies across both pre-season and in-season planning. AI’s ability to factor in external variables—like material costs, geopolitical risks and evolving consumer behaviors—will allow retailers to maintain competitive pricing without potentially compromising brand reputation and perception.
Retailers who adopt AI-driven pricing today will likely be better equipped to adapt to future market shifts and customer expectations.
How Retailers Can Get Started With AI-Powered Pricing Solutions
To successfully implement AI-powered pricing strategies, retailers should take a step-by-step approach.
1. Assessing Your Current Data Infrastructure
Before investing in AI, retailers should start by evaluating the quality and availability of their data. AI-driven pricing solutions rely on accurate, up-to-date data from various sources. Retailers need to have a solid data infrastructure in place, which may involve improving data collection processes or integrating systems for better data flow.
2. Clearly Defining Objectives
Next, outline expectations. What do you want the AI to achieve? Whether it’s improving margins, optimizing promotions or responding to market disruptions, setting clear goals will help guide you in your tech selection process. For example, if the goal is to minimize markdowns, a retailer might prioritize a solution with strong markdown optimization features.
3. Considering Customization And Integration Needs
Not all AI solutions are built the same. Retailers should look for solutions that offer flexibility and customization options that can be tailored to their specific needs. Compatibility with existing tools like enterprise resource planning (ERP) systems or sales platforms is also important for smooth integration. It’s important to consider and understand the level of support provided by the solutions provider, like onboarding, training and ongoing maintenance.
4. Evaluating Scalability
As your business grows, so will your pricing needs. Look for AI solutions that can scale with your operations, accommodating growth and market changes.
The key to adopting AI-driven pricing solutions isn’t just choosing the right technology but preparing your business infrastructure to make the most of it. By balancing the opportunities AI offers with a realistic understanding of their needs and limitations, retailers can position themselves to thrive in a highly dynamic market environment.
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