In the dynamic and competitive world of fashion retail, effective pricing strategies are critical. Competitor price monitoring involves regularly tracking and analyzing the prices of competing products and brands to make informed pricing decisions for your own goods. 

When combined with price benchmarking, this practice helps fashion retailers stay competitive, maximize profits and meet consumer expectations. In this article, we will explore the significance of competitor price monitoring, the methods used and how product lifecycle management (PLM) software can streamline this essential process.

Faced with rapid trends, sustainability demands, and innovation pressures, fashion leaders are turning to technology to stay competitive. MMGNET, in partnership with The Interline, explores how technology is revolutionizing fashion in Fashion & Technology in 2025. This report delves into how industry professionals are adopting digital tools, addressing challenges, and using technology to drive sustainability and operational efficiency. It also highlights how smaller brands are leveraging technology to compete with larger corporations and adapt to a fast-changing industry.

Fashion creators over 40 and beyond are redefining the industry by proving that style and creativity only gets better with age. The fashion world has historically leaned towards youth-focused representation, often leaving out the voices and talents of those who have years of experience and confidence under their belts.

Enter the #Over40Fashion movement.

This thriving community celebrates seasoned style, showcasing creators who provide inspiration, tips, and education for individuals embracing their fashion identity in their 40s, 50s, and beyond. These creators are breaking stereotypes, highlighting timeless elegance, and proving that personal style has no timeline. 

We are pleased to announce our new State of Influence: Fashion, which covers the first eight months of 2024! In this State of Influence report, you’ll get top fashion brand strategies, creator insights, and rising trends from an analysis of data covering 2024 so far. 

A few highlights include:

• Fashion creators are posting less content in the US, UK, and FR, but video views for their content continues to climb (hint: Instagram has a big part in that)

As more beauty and fashion brands and retailers adopt AI, industry leaders are leveraging these technologies to enhance customer experiences, optimize marketing campaigns and streamline operations.

Research shows that brands and retailers are seeing substantial financial benefits from AI integration. By powering customer-facing use cases — including personalized product recommendations, virtual shopping assistants, AR-enhanced shopping experiences and more — AI enables beauty and fashion brands to stay competitive in a tech-savvy market.

As a marketer, keeping up with the trends isn’t just a flex—it’s survival. And the world of Gen Z changes - fast. Have no fear, as the Gen Z experts, we’re here to bridge that gap with what’s going to be big next season. Combining the latest Google search data, social media listening, and a bespoke survey of 2,000 Gen Z-ers in the UK and US - these are predictions you can trust.

Learn how luxury fashion loyalty programs boost retention with exclusive experiences, personalized rewards, and VIP treatment. As a loyalty expert, I’m often being asked: “Do loyalty programs work in luxury fashion?” Well, let me tell you: luxury fashion loyalty programs aren’t just a myth. A reward system can indeed work in this industry without cheapening the brand image; you just need to take the right approach. Loyalty programs are no different from any other tool in your arsenal, as you can consistently reshape them to fit your needs.

More than half of shoppers would use generative AI for clothing purchases, according to Adobe new research. Nearly three-quarters of respondents said they think using the technology to try on products virtually would boost their buying confidence.

As more retailers experiment with AI, nearly six in 10 (58%) respondents to an Adobe survey said that generative artificial intelligence has already improved their online shopping experience. Two-thirds of respondents said they want brands to analyze their previous purchases and other customer information to tailor the shopping experience to their needs, according to the survey, which included 3,000 U.S. consumers.