As IT technologies such as human-machine interface, natural language processing, and machine learning solutions have advanced over the years, online retailers, offline retailers, and information technology companies have been actively thinking how to utilize new technologies to enhance consumer shopping intentions and tap their needs with a more initiative and convenient approach. For this reason, intelligent marketing voice assistants have been developed to recommend consumers during the shopping process to achieve effective marketing. This report provides key points intelligent marketing voice assistant technologies, examines the patent distribution of several brands in this area such as Amazon, Google, Microsoft, IBM, Apple, Walmart, and identifies key fields and technologies with regards to intelligent marketing voice assistant patents.
List of Topics
- Overview of intelligent marketing voice assistant patent technologies and products
- US intelligent marketing voice assistant patent counts by patent field, by application year, by country, by patent technology, and by assignees such as Amazon, Google, Microsoft, IBM, Apple, and Walmart.
- Patent analysis from an industrial-analytic perspective
Table of Contents
1.Technology Introduction
2.Patent Analysis
2.1 Patent Mining
2.2 Patent Analysis
2.2.1 Analysis by Patent Field and Patent Application Year
2.2.2 Analysis by Patent Field and Country
2.2.3 Analysis by Patent Field and Assignee
2.2.4 Analysis by Patent Technology and Patent Application Year
2.2.5 Analysis by Patent Technology and Country
2.2.6 Analysis by Patent Technology and Assignee
3. Author's Perspective
Appendix
Glossary of Terms
List of Companies
List of Tables
Table 1 Matrix Analysis of US Intelligent Marketing Voice Assistant Patent Counts by Patent Field and Patent Application Year
Table 2 Matrix Analysis of US Intelligent Marketing Voice Assistant Patent Counts by Patent Field and Country
Table 3 Matrix Analysis of US Intelligent Marketing Voice Assistant Patent Counts by Patent Field and Assignee
Table 4 Matrix Analysis of US Intelligent Marketing Voice Assistant Patent Counts by Patent Technology and Patent Application Year
Table 5 Matrix Analysis of US Intelligent Marketing Voice Assistant Patent Counts by Patent Technology and Country
Table 6 Matrix Analysis of US Intelligent Marketing Voice Assistant Patent Counts by Patent Technology and Assignee
List of Figures
Figure 1 Illustration of Intelligent Marketing Voice Assistants Launched by Amazon, Google, and Microsoft
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- 24/7 Customer
- Amazon
- Apple
- eBay
- Groupon
- HTC
- IBM
- Microsoft
- NewValueExchange
- Nuance Communications
- VoiceBox Technologies
- Walmart
- Yahoo
Methodology
Primary research with a holistic, cross-domain approach
The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.
Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:
Method
- Component supplier interviews
- System supplier interviews
- User interviews
- Channel interviews
- IPO interviews
- Focus groups
- Consumer surveys
- Production databases
- Financial data
- Custom databases
Methodology
- Technology forecasting and assessment
- Product assessment and selection
- Product life cycles
- Added value analysis
- Market trends
- Scenario analysis
- Competitor analysis
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