Ecommerce: A High Velocity MicroReport

Analysis as of 2022-07-14 and auto generated using "Code+AI"


Consumer View

We first analyze the consumer view to determine the momentum and awareness amongst

people in social media. These days consumers look for everything on the internet and this

data trail is a great source of insights. We analyze the chatter on social media, analyze

search trends of the consumers & find specific pattern of internet lookups. This analysis

serves as a lead indicator for the topic to understand the conversations and feedback better.


Consumer Interest Analysis

We analyze 5 years of search data from 2017-07-16 to 2022-07-10. The analysis was done

for global region.


  • It has trended with a Positive cagr of 5.55%

  • Malaysia, Singapore, St. Helena, Bangladesh, Nepal are the main regions that have shown interest

  • It has shown 1 peaks as seen in image below


  • Queries like dhl ecommerce kuantan, ecommerce datablitz, correo argentino ecommerce, innoart ecommerce limited are top related searches in last 12 months

  • Their changes over the last 12 months can be seen in image below



Use Case Analysis

  • Consumers look for ecommerce usage in multiple areas which can be seen below

  • The image shows a word tree that visualizes the lookups as performed by consumers



  • wordpress, sale, service, beginners, dummies are the top areas that consumers lookup ecommerce for.

  • Note: Consumers may not type entire keywords and hence you would see some repetitions



  • Consumers look for ecommerce usage in multiple areas along with certain aspects which can be seen below

  • The image shows a word tree that visualizes the lookups as performed by consumers. n & n year old suggest queries like product for 5 year old and so on


  • react, django, google, penny, quickbooks are the top areas that consumers lookup ecommerce with.

  • Note: Consumers may not type entire keywords and hence you would see some repetitions




Market View

Having a sense of what consumers are looking for next we shift to the players and consumer

engagement with them. Apps have become integral to customer experience and most

companies interact with their customers through apps to enhance customer experience. So,

when understanding consumer engagement with a product, analysing the app landscape is

an important aspect to gauge the communication effectiveness between a brand and its

customers. It also gives indications of features required and issues to be fixed.


Analysis of apps

  • 50 apps are analyzed across 7 categories.

  • Top 20 categories are shown below.

  • Business, Shopping, Education, Libraries & Demo, Productivity are the top 5 categories seeing app development.



  • The top trends in App categories are seen below. This gives an indication of where ecommerce is seeing market traction.

  • Business, Shopping, Education, Libraries & Demo, Productivity are the top 5 categories



  • Top 20 categories basis installs are shown below including new niche areas.

  • Business, Tools, Education, Libraries & Demo, Productivity are the top 5 categories seeing app installations.


  • Consumers leave feedback on the app regarding their experience, usage & issues. We identify the different aspects and consumer sentiment around it.

  • Top 25 aspects and their sentiment are shown below.

  • Note: Every aspect would have both positive & negative sentiment which is shown in the chart. Green implies positive & red negative. Width of box signifies number of comments.



  • ecommerce site, connection error, android phone, internet connection, commerce site are the top 5 negative categories.

  • business owner, commerce store, commerce business, online store, long time are the top 5 positive categories.

Research View

Now that we’ve understood the market and consumer view let us switch gears to

understand technology advancements. Research agenda is key to understanding the

upcoming technologies that are being researched that will have a major influence in this

space. We do this by analysing research papers to understand emerging technologies.


Analysis of research papers

  • We analyze 96 research papers

  • Let us take 3 views of what areas are being researched. 1) basis words in the abstract 2) basis topic classification of the papers 3) discipline classification

  • The top trends basis words are seen below

  • neural networks, commerce search, based recommendation, ecommerce search, visual search are the top 5 areas


  • The top trends basis topics are seen below

  • Market_research, Behavioral_and_social_facets_of_systemic_risk, Information_technology_management, Product_management, Fields_of_application_of_statistics are the top 5 areas


  • Research progresses across multiple disciplines. The top discipline trends are seen below that provides insights on how the topic is evolving.

  • The top 15 disciplines are:

  • discipline_1: Information Retrieval

  • discipline_2: Information Retrieval:Machine Learning

  • discipline_3: Computers and Society

  • discipline_4: Machine Learning:Machine Learning

  • discipline_5: Cryptography and Security

  • discipline_6: Machine Learning

  • discipline_7: Computation and Language:Artificial Intelligence

  • discipline_8: Computer Vision and Pattern Recognition

  • discipline_9: Information Retrieval:Artificial Intelligence

  • discipline_10: Human-Computer Interaction

  • discipline_11: Computation and Language:Machine Learning

  • discipline_12: Information Retrieval:Computation and Language:Machine Learning

  • discipline_13: Information Retrieval:Computation and Language

  • discipline_14: Software Engineering

  • discipline_15: Information Retrieval:Artificial Intelligence:Machine Learning


  • What are the top cited papers? Next let us analyze papers bases on citations.

  • Citation of a paper is a key measure of importance of a technology/ concept articluated in a paper. Here we list the titles of top cited papers & show a timeline of the top cited papers.

  • Cited count: 1454 Title: The Internet: An Ethnographic Approach

  • Cited count: 1430 Title: Web Service Modeling Ontology

  • Cited count: 998 Title: The Long Tail: Why the Future of Business is Selling Less of More

  • Cited count: 699 Title: An Environment for Merging and Testing Large Ontologies

  • Cited count: 630 Title: Measuring Motivations for Online Opinion Seeking



  • What are the emerging cited papers? Next let us analyze cited papers bases on recency.

  • Here we list the titles of top cited papers in last 12 months & show a timeline of the top cited papers adjusted for age.

  • The chart to the right is the same as previous slide but citations are time adjusted. An growth line indicates an area with increasing research interest

  • Cited count: 53 Title: E-commerce Ethics and Its Impact on Buyer Repurchase Intentions and Loyalty: An Empirical Study of Small and Medium Egyptian Businesses

  • Cited count: 46 Title: "Person, Shoes, Tree. Is the Person Naked?" What People with Vision Impairments Want in Image Descriptions

  • Cited count: 29 Title: Challenges and research opportunities in eCommerce search and recommendations

  • Cited count: 23 Title: Cyber physical ecommerce logistics system: An implementation case in Hong Kong



  • We then look at application areas of the technology/ use cases. We do this by seeing what it is applied FOR

  • Consumers look for ecommerce usage in multiple areas which can be seen below

  • The image shows a word tree that visualizes the use cases as being researched. The applications are typically found to the right of word "FOR"

  • These use cases are based on most cited papers in history (see papers over years chart to discover timeline)

  • Note: We donot show entire sentences but you can use the string of keywords to perform a search and find the paper

  • We then look at recent application areas of the technology/ use cases. We do this by seeing what it is applied FOR recently

  • Consumers look for ecommerce usage in multiple areas which can be seen below

  • The image shows a word tree that visualizes the use cases as being researched. The applications are typically found to the right of word "FOR"

  • These use cases are based on most cited papers in the years 2021.0, 2020.0

  • Note: We donot show entire sentences but you can use the string of keywords to perform a search and find the paper


Analysis of developer questions


As part of R&D developers build and in the process as questions in developer forums. Let us

understand trends from this source.

  • Developer question filing trends

  • A total of 1400 questions were analyzed.

  • javascript, reactjs, django, python, php are the top 5 areas


Technology View


Now that we’ve understood the market, consumer & future research view let us switch

gears to understand companies that are investing & leveraging these technology

advancements. Patent analysis is key to understanding technologies that are being utilized

in this space. This also gives us an insight into organizations that will play a key role going

forward.


Analysis of patents

  • A total of 1229 patents were analyzed.

  • Patent filing trends


  • Applicants filing patent trends


  • Top inventor organizations are shown below.


  • A vibrant area is one where new entrants are filing patents. Here are companies that have filed in last 5 years sorted by citation count.


  • Let us take 3 views of what areas are being patented. 1) basis words in the abstract 2) basis topic classification of the patents 3) CPC classification

  • The top trends basis words are seen below

  • utility model, model discloses, commerce platform, electronic commerce, ecommerce transaction are the top 5 areas



  • The top trends basis topics are seen below

  • Information_technology_management, Enterprise_application_integration, Marketing, E-commerce, Data_management are the top 5 areas



  • The top discipline trends are seen below

  • The top 10 disciplines are:

  • cpc_1: Processing of requisition or of purchase orders

  • cpc_2: Graphical representation of items or shoppers

  • cpc_3: Electronic shopping

  • cpc_4: Item recommendations

  • cpc_5: Lists, e.g. purchase orders, compilation or processing

  • cpc_6: Payment architectures specially adapted for electronic shopping systems

  • cpc_7: Market data gathering, market analysis or market modelling

  • cpc_8: Interconnection or interaction of plural electronic cash registers [ECR] or to host computer, e.g. network details, transfer of information from host to ECR or from ECR to ECR

  • cpc_9: During e-commerce, i.e. online transactions

  • cpc_10: Payment architectures, schemes or protocols characterised by the use of specific devices or networks using electronic wallets or electronic money safes involving electronic purses or money safes involving authentication



  • Emerging discipline trends are seen below

  • The top 10 emerging disciplines are:

  • cpc_1: Processing of requisition or of purchase orders

  • cpc_2: Graphical representation of items or shoppers

  • cpc_3: Electronic shopping

  • cpc_4: Item recommendations

  • cpc_5: Lists, e.g. purchase orders, compilation or processing

  • cpc_6: Payment architectures specially adapted for electronic shopping systems

  • cpc_7: Market data gathering, market analysis or market modelling

  • cpc_8: Interconnection or interaction of plural electronic cash registers [ECR] or to host computer, e.g. network details, transfer of information from host to ECR or from ECR to ECR

  • cpc_9: During e-commerce, i.e. online transactions

  • cpc_10: Payment architectures, schemes or protocols characterised by the use of specific devices or networks using electronic wallets or electronic money safes involving electronic purses or money safes involving authentication


This report was auto generated by Code+AI algorithms driven machine on 2022-07-14

31 views0 comments

Recent Posts

See All