Analysis Report Beyond Toilet Paper - Essential Products with the Highest Demand Online A look at best selling categories and brands in the US from a basket of “high priority” goods
Analysis Report Shopping for Hand Sanitizers Online in the Age of COVID-19 On 4x price increases, rapid price fluctuations, upstart brands and fake listingsCOVID-19 has led to a spike in demand for products like hand sanitizers and face masks. Manufacturers of these products, many of
7 Elements of AI Product Strategy A playbook for building ML powered products, teams and businessesBuilding and selling machine learning (ML) products is hard. The underlying technology keeps evolving, requiring organizations to constantly be on their toes … and the
Predicting the Demand of Products Sold Online Can the demand for an item be predicted before its market launch? Which signals best prophesy future demand? We set out to answer the questions above using the ~10 billion price & demand signals in our database, and our Universal Product Catalog.
Introducing Attribute Extraction from User-Generated Content Attribute Extraction from ecommerce data - the generation of structured fields from unstructured text - is a popular product offering of ours. Our customers use it to improve the quality of their search
Analysis Report Patterns in Shipment Delays of Imports into the USA This is the second in a multi-part series in which we attempt to unearth dynamics of the shipping industry, by analyzing publicly available import shipment data in the United States.Vessel delays can
Analysis Report Shipping Line, Port and Route Dynamics of US Shipment Imports This is the first in an article series in which we attempt to unearth dynamics of the shipping industry, by analyzing publicly available import shipment data in the United States.In this article,
Deal or No Deal? - A Tool to Find Real Discounts this Black Friday #RealBlackFridayDiscounts We've all felt happy landing good discounts during sale season ... but have you ever stopped to analyze how real these discounts were? With Black Friday around the corner, we set out to help consumers like you make better decisions on deals. Here's how. #RealBlackFridayDiscounts
Using AI to Automate Web Crawling Classification, clustering and reinforcement algorithms used at Semantics3 to automate the crawling of ecommerce websites
E-Commerce Image Attribute Extraction using Machine Learning The average visit to an e-commerce website in the US lasts 5 minutes1, yet the conversion rate for visitors is just 4.4%2. What can retailers do to boost their conversion rates?
Weak Supervision & Active Learning - Essential Tools for Machine Learning Projects Weak supervision and active learning - a couple of key underutilized ideas for when the performance of your ML algorithms plateau, and the marginal utility of further investment in the project drops
How AI and Web Crawling can Empower Customs Risk Management Teams Customs agencies across the globe are waking up to a new challenge — rapidly growing volumes of international small package shipments. The United States Customs and Border Protection (CBP) noted that international mail shipments
Similarity Search for Product Matching [Conference Talk] Or the story of how we made our product matching leaner, faster and cheaper.Product Matching is one of our core product offerings at Semantics3. It enables us to identify duplicates in the
Analysis Report Ecommerce Trends in the CPG Industry: Toothpaste Motivation & Methodology The impact of e-commerce on the Consumer Packaged Goods (CPG) industry is inevitable. Year on year, we see an upward trend in the share of CPG sold online. In this report,
The Ecommerce Knowledge Graph - Semantics3 Labs An Ecommerce knowledge graph built from Semantics3's Universal Product Catalog. Useful for exploring supply chain insights, brand profiles, compatible looks and more. Made possible by our crawling and extraction engines.
Analysis Report Understanding the Evolution of Ecommerce Regulations in India IntroductionIn the early 2010s, I was studying to be a doctor in a remote town in Gujarat. Back then, crazy hours aside, my biggest frustration was that a lot of the textbooks that
AI-based HTS Code Classification: 5 Technical Ideas for Building Solutions that Work Imports, exports and tariffs are quite the theme in the news these days, be it in the context of Brexit, the US-China trade war or the Iran nuclear deal. Executive decisions on what
Analysis Report Online Apparel in 2019 : A Time Capsule In this report, we chronicle the looks, choices, biases and brands that characterize online apparel in 2019. Our goal is to build a “time capsule” that captures the state of clothing in our
Analysis Report Evolution of the Mobile Phone Industry In this report, we’ll chart the progress of the mobile phone industry from the flip phones of the mid-90s to the smartphones of today.
Analysis Report The State of Ecommerce - 2019 Report We analyzed 138 million dotcom sites, with a focus on ~6 million ecommerce sites. Here's what we found.
Principles for Managing Data & Product Quality Measure everything, set realistic targets, Think statistically and 6 other principles for managing product/data quality
Mapping the Universe of E-commerce Brands Of the thousands of attributes that we handle while curating product catalogs, the hardest and perhaps most important attribute is brand. Consumers often begin their searches with brand names of the products they're
How we do Data QA @ Semantics3: Processes & Humans-in-the-Loop (Part 2) In this second of two posts about data quality, I'd like to delve into the challenge of building and maintaining evolving datasets, i.e., datasets that are function of changing inputs and fuzzy
How we do Data QA @ Semantics3: Statistics & Algorithms (Part 1) In this first of two posts about data quality, I'd like to delve into the challenge of building and maintaining evolving datasets, i.e., datasets that are function of changing inputs and fuzzy
How to Launch and Maintain Enterprise AI Products There is a significant disconnect between the perception and reality of how enterprise AI products are built.The narrative seems to be that given a business problem, the data science team sets about