What Does a Successful Ecommerce Merchandising Strategy Look Like?
When you actually sit down and think about it, isn’t it crazy that the earliest days of trade and commerce date back to the Neolithic period in the year 10,000 BCE? From there, the development of commerce continued in Mesopotamia (3,500 BCE), in Egypt (3,000 BCE), and on the Silk Road (130 BCE), an extensive […]
Ecommerce Personalization: Your Complete Guide
Ecommerce personalization has been a key focus for digital business for a long time, with the ultimate ambition being a consistent, cross-channel experience that adapts to customer needs and goals in real time. The good news for digital commerce is that these technologies have finally arrived. The bad news is the sheer number and variety […]
Artificial Intelligence (AI) in Retail: Online Fashion Retail
Most retail businesses see artificial intelligence as a tool of the future. But in reality, AI is essential for addressing retail’s challenges in the here and now. Here’s an overview of the current role of AI in the online fashion industry, and what we can expect from the groundbreaking technology in the future. The State […]
Top User-Generated Content Strategies for Ecommerce
User-generated content (UGC) is today’s version of word of mouth, and it’s one of the most powerful tools your brand can use to build trust and drive growth. Instead of only relying on professional reviews, people now check customer product reviews, scroll through tagged photos, or watch someone unbox your product on social media. It’s […]
Two-Tower Neural Networks and Personalized Product Recommendations
Product recommendations are a critical use case for modern digital commerce companies. Recommendation systems play a significant role in suggesting personalized products to customers, resulting in increased sales and customer satisfaction. Collaborative filtering has been a popular technique in ecommerce product recommendations for many years, with the traditional approach involving matrix factorization. However, as the […]
Beyond Simple Similarity: How Sequential Two-Tower Neural Networks Revolutionize Product Recommendations
In the dynamic world of ecommerce, shopper behavior is rarely static. Customers’ needs and interests evolve over time, and you need to meet those preferences if you hope to keep them coming back to your brand. We’ve previously covered the benefits of Two-Tower Neural Networks (2TNN) and how they offer significant improvements over traditional Alternating […]
