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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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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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DataWeave’s AI Evolution: Delivering Greater Value Faster in the Age of Gen AI and LLMs
Explore how DataWeave leverages AI, including Gen AI and LLMs, to revolutionize eCommerce intelligence through advanced product matching, attribute tagging, and competitive analysis.
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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 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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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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How Apache Airflow Optimizes Complex Workflows in DataWeave’s Technology Platform
As successful businesses grow, they add a large number of people, customers, tools, technologies, etc. and roll out processes to manage the ever-increasingly complex landscape. Automation ensures that these processes are run in a smooth, efficient, swift, accurate, and cost-effective manner. To this end, Workflow Management Systems (WMS) aid businesses in rolling out an automated…
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Flaunt Your Deep-Tech Prowess at Bootstrap Paradox Hackathon Hosted by Blume Ventures
When DataWeave was founded in 2011, we set out to democratize data by enabling businesses to leverage public Web data to solve mission-critical business problems. Eight years on, we have done just that, and grown to deliver AI-powered competitive intelligence and digital shelf analytics to several global retailers and brands, which include the likes of…
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Dataweave – CherryPy vs Sanic: Which Python API Framework is Faster?
Rest APIs play a crucial role in the exchange of data between internal systems of an enterprise, or when connecting with external services. When an organization relies on APIs to deliver a service to its clients, the APIs’ performance is crucial, and can make or break the success of the service. It is, therefore, essential…
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Implement a Machine-Learning Product Classification System
For online retailers, price competitiveness and a broad assortment of products are key to acquiring new customers, and driving customer retention. To achieve these, they need timely, in-depth information on the pricing and product assortment of competing retailers. However, in the dynamic world of online retail, price changes occur frequently, and products are constantly added,…
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Dataweave – Smartphones vs Tablets: Does size matter?
Smartphones vs Tablets: Does size matter? We have seen a steady increase in the number of smartphones and tablets since the last five years. Looking at the number of smartphones, tablets and now wearables ( smart watches and fitbits ) that are being launched in the mobiles market, we can truly call this ‘The Mobile Age’.…
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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…
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A Peek into GNU Parallel
GNU Parallel is a tool that can be deployed from a shell to parallelize job execution. A job can be anything from simple shell scripts to complex interdependent Python/Ruby/Perl scripts. The simplicity of ‘Parallel’ tool lies in it usage. A modern day computer with multicore processors should be enough to run your jobs in parallel. A…
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How to Conquer Data Mountains API by API | DataWeave
Let’s revisit our raison d’être: DataWeave is a platform on which we do large-scale data aggregation and serve this data in forms that are easily consumable. The nature of the data that we deal with is that: (1) it is publicly available on the web, (2) it is factual (to the extent possible), and (3) it…
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Difference Between Json, Ultrajson, & Simplejson | DataWeave
Without argument, one of the most common used data model is JSON. There are two popular packages used for handling json — first is the stockjsonpackage that comes with default installation of Python, the other one issimplejson which is an optimized and maintained package for Python. The goal of this blog post is to introduce ultrajson or Ultra JSON,…
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Mining Twitter for Reactions to Products & Brands | DataWeave
[This post was written by Dipanjan. Dipanjan works in the Engineering Team with Mandar, addressing some of the problems related to Data Semantics. He loves watching English Sitcoms in his spare time. This was originally posted on the PriceWeave blog.] This is the second post in our series of blog posts which we shall be presenting…
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Mining Twitter to Analyze Product Trends | DataWeave
Due to the massive growth of social media in the last decade, it has become a rage among data enthusiasts to tap into the vast pool of social data and gather interesting insights like trending items, reception of newly released products by society, popularity measures to name a few. We are continually evolving PriceWeave, which…