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Early Black Friday Deals Analyzed: How Top Retailers Stack Up on Discounts
Pre-Black Friday 2024: Our pricing intelligence reveals how attractive early holiday deals really are, comparing discounts across major retailers from Walmart’s aggressive 57% to Amazon’s conservative strategy.
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Redefining Product Attribute Tagging With AI-Powered Retail Domain Language Models
Find out how AI-powered retail domain language models are transforming product attribute tagging. Learn how DataWeave’s advanced tagging solutions optimize product catalogs, enhance search accuracy, and drive conversions in eCommerce by ensuring comprehensive, precise product data.
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Mastering Grocery Pricing Intelligence: A Strategic Approach for Modern Retailers
Learn how grocery retailers are leveraging advanced pricing intelligence to stay competitive and boost profits. From data collection to AI-driven insights, discover how DataWeave’s solutions empower smarter, proactive pricing strategies for sustainable growth in a volatile market.
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Normalizing Size and Color in Fashion Using AI to Power Competitive Price Intelligence
Explore how AI-powered size and color normalization in fashion enables apparel brands to enhance competitive price intelligence. Find out how advanced algorithms simplify tracking size and color variants across retailers, improving pricing strategies and maximizing market share.
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Competitor Price Monitoring in E-commerce: Everything You Need to Know in 2024
Every business needs product price monitoring to stay competitive. Understand the benefits, key strategies, and essential price monitoring software features.
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Cracking the Code: How Retailers Can Adapt to Plummeting Egg Prices in 2024
Learn retail strategies to maintain profit margins and customer loyalty despite unstable egg prices.
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Using Siamese Networks to Power Accurate Product Matching in eCommerce
Retailers often compete on price to gain market share in high performance product categories. Brands too must ensure that their in-demand assortment is competitively priced across retailers. Commerce and digital shelf analytics solutions offer competitive pricing insights at both granular and SKU levels. Central to this intelligence gathering is a vital process: product matching. Product…
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How Monitoring and Analyzing End-User Prices can Help Retailers and Brands Gain a Competitive Edge
Accurate pricing intelligence is crucial for retailers and brands in the eCommerce arena. Discover why tracking the “end-user price” – the true cost to consumers after discounts and fees – is essential for enhanced pricing strategies.
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Augmenting AI-powered Product Matching with Human Expertise to Achieve Unparalleled Accuracy
Find out how the power of AI and human validation can drive precise product matching. Discover how DataWeave enhances product matching to enhance your pricing strategies.
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How AI-Powered Visual Highlighting Helps Brands Achieve Product Consistency Across eCommerce
Learn how AI-powered visual highlighting helps brands maintain consistency of product images across online marketplaces with precision and speed.
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How DataWeave Enhances Transparency in Competitive Pricing Intelligence for Retailers
Unlock transparent pricing strategies with DataWeave! Elevate accuracy, freshness, and coverage in competitive intelligence. Manage matches independently for retail success. Learn more!
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AI-powered Product Matching: The Key to Competitive Pricing Intelligence in eCommerce
With thousands of products and hundreds of online retailers to choose from, the average modern-day shopper usually compares prices across several e-commerce sites effortlessly before often settling for the lowest priced option. As a result, retailers today are forced to execute millions of price changes per day in a never-ending race to be the lowest…
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Why Unit of Measure Normalization is Critical For Accurate and Actionable Competitive Pricing Intelligence
Find out how Unit of Measure Normalization ensures products are matched appropriately, resulting in highly accurate and actionable competitive pricing intelligence and insights for retailers.
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Revolutionizing Fuel Pricing: How Fuel Retailers and Convenience Stores Can Gain a Winning Edge with DataWeave
Learn how you can transform your retail fuel pricing strategies with the world’s most accurate, comprehensive, and real-time fuel pricing intelligence solution.
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U.S. Prime Day Deals 2022: Promotion Intelligence First Look
As inflation hits another 40-year high at 9.1 percent, U.S. consumers geared up for their first sign of hope and relief in the form of anticipated discount buys – 2022 Amazon Prime Days, or so we thought. While Prime Days have grown to become a promotional period almost as important as Black Friday to digital…
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7 Key Metrics that QSRs want (but may not get) from Food Delivery Apps
As the QSR market is projected to be valued at $691 billion by 2022. Here are a few important metrics QSRs need from food delivery apps to increase sales. Learn Now.
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What is Customer Price Perception and why it is important
Learn how to build the right customer price perception by analyzing competitors pricing, promotional strategies and brand image with the help of Dataweave.
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What Historical Pricing Data can tell you & how to use it
Identify the significance of historical pricing data & how to make the most of it. Maximize your revenue by planning pricing strategies & promotions.Learn more!
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Best Practices to avoid MAP Violations
MAP is an agreement between distributors and manufacturers about the minimum price resellers can advertise the products. Read the full blog to know more.
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Importance of Image Recognition in the Retail Industry
Image recognition helps retailers to get more real-time visibility and help to increase sales for their store. Learn more about Image Recognition and its importance.
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Top 7 AI tools for your eCommerce business
7 Artificial Intelligence (AI) and Data Tools for your eCommerce business growth in 2022. Read the blog to know more about Data Warehouse and other AI tools.
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Top 10 Retail Analytics that You Must Know
Retail Analytics help merchants to understand their customers, how to increase sales, and much more. Here we share 10 facts about retail analytics that you must know.
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AI-Driven Mapping of Retail Taxonomies- Part 2
Mapping product taxonomies using Deep Learning In Part 1 we discussed the importance of Retail taxonomy and the applications of mapping retail taxonomies in Assortment Analytics, building Knowledge Graph, etc. Here, we will discuss how we approached the problem of mapping retail taxonomies across sources. We solved this problem by classifying every retail product to…
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Compete Profitably in Retail: Leveraging AI-Powered Competitive Intelligence at Massive Scale
AI is everywhere. Any retailer worth his salt knows that in today’s hyper-competitive environment, you can’t win just by fighting hard – you have to do it by fighting smart. The solution? Retailers are turning to AI in droves. The problem is that many organizations regard AI as a black box of sorts – where…
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Evaluating the Influence of Learning Models
Natt Fry, a renowned thought leader in the world of retail and analytics, published recently an article expounding the value and potential of learning models influencing business decision-making across industries over the next few years. He quotes a Wall Street Journal article (paywall) published by Steven A. Cohen and Matthew W. Granade who claim that,…
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Recognize Product Attributes with AI-Powered Image Analytics
Anna is a fashionista and a merchandise manager at a large fast-fashion retailer. As part of her job, she regularly browses through the Web for the most popular designs and trends in contemporary fashion, so she can augment her product assortment with fresh and fast-moving products. She spots a picture on social media of a…
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Alibaba’s Singles Day Sale: Decoding the World’s Biggest Shopping Festival
$17.5 million every 60 seconds. That’s the volume of sales Alibaba generated on 11.11, or Singles Day. This mammoth event, decisively the world’s biggest shopping day, dwarfed last years’ Black Friday and Cyber Monday combined. This year, the anticipation around Singles Day was all-pervasive, and the sale was widely expected to break all records, as…
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Video: Using Product Images to Achieve Over 90% Accuracy in Matching E-Commerce Products
Matching images is hard! Images, intrinsically, are complex forms of information, with varying backgrounds, orientations, and noise. Developing a reliable system that achieves human-like accuracy in identifying, interpreting, and comparing images, without investing in expensive resources, is no mean task. For DataWeave, however, the ability to accurately match images is fundamental to the value we…
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Baahubali 2: Dissecting 75,000 Tweets to Uncover Audience Sentiments
Why did Katappa kill Baahubali? Two years ago, not many would have foreseen this sentence capturing the imagination of the country like it has. Demolishing all regional barriers, the movie has grossed over INR 500 crores across the world in only its first three days. While the first movie received lavish praise for its ambition,…
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Why is Product Matching Difficult? | DataWeave
Product Matching is a combination of algorithmic and manual techniques to recognize and match identical products from different sources. Product matching is at the core of competitive intelligence for retail. A competitive intelligence product is most useful when it can accurately match products of a wide range of categories in a timely manner, and at…