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❯Retail - Customer Sentiment Analysis
Large Companies
NLP - Text summarization
For:
Media Intelligence Analysts
Scope:
Using Abstractive Text Summarization to reduce analysis costs for media monitoring.
Goal:
Improve Operation Efficiency
AI virtual assistant for customer support and service
For:
Customer service department
Scope:
Customer support service, product and service consulting.
Limitations - support for dialogs exclusively within MTS products.
Target audience - b2b, b2c clients of MTS Russia.
Goal:
Other
AI contract management
For:
Procurement department, legal department
Scope:
Building an AI contract management solution for automating business processes
related to documents: data classification, automatic data extraction and contract
monitoring.
Goal:
Other
Large Companies
Small Companies
Human Resources - Employee Performance Assessment
For:
Line managers.
Scope:
Creating an insight report for managers carrying out employee performance reports using Text Mining.
Goal:
Improved Employee Efficiency
Virtual bank assistant
Scope:
Use of advanced chatbots and dialogue systems to automatize part of call centre activities.
Goal:
Improved Employee Efficiency, Improved Customer Experience
General Public
Entertainment and Media - Search Optimization
For:
End consumers of news stories.
Scope:
Optimizing search using Machine Learning and Natural Language Processing to improve relevancy and presentation of results.
Goal:
Improved Customer Experience
Large Companies
NLP - Machine translation
For:
Translation Managers and Translators.
Scope:
Using Machine Translation to scale content production and create a more streamlined and efficient translation process.
Goal:
Improve Operation Efficiency, Automate a Business Process
Loan in 7 minutes
For:
Customers
Scope:
A completely automated solution that analyses customer behaviour and makes the best loan offers for the customer.
Goal:
Improved Customer Experience, Improved Employee Efficiency
Large Companies
Small Companies
Legal - Automated Legal Review
For:
Legal Associates and Paralegals.
Scope:
Supporting human analysis of legal documents using automated Document Classification and Information Extraction.
Goal:
Improve Operation Efficiency, Improved Operation
Procurement - Cost Analysis
For:
VP Global Supply Chain Management, Category Managers
Scope:
Realizing operational efficiencies and working capital improvements through automated spend classification.
Goal:
Reduce costs, Improved Employee Efficiency
Tax rules updates and classification
For:
Investment firm
Scope:
Build an AI solution that identifies updates on tax laws and classifies them.
Goal:
Other
Procurement - Supplier Selection and Evaluation
For:
Procurement Managers
Scope:
Creating efficiencies in supplier selection using Intelligent Search technologies.
Goal:
Improved Employee Efficiency
Large Companies
Retail - Customer Sentiment Analysis
For:
Retail managers, executives, marketeers and branding specialists.
Scope:
Understanding consumer sentiment towards national grocery chains in South Africa using Natural Language Processing.
Goal:
Improved Customer Experience
WebioMed clinical decision support system
For:
End-users (physician, nurse, laboratory technologist, pharmacist, patient)
Sales and marketing team
CDSS product development and maintenance team (system administrator,
system developer, system architect, project manager, and system
maintenance)
Scope:
Screening for cardiovascular disease risk prediction with machine and deep
learning methods
Goal:
Other
Large Companies
Human resources - Federate the team
For:
HR professionals.
Scope:
Using Artificial Intelligence (AI) to identify ideal candidates, decrease hiring time and improve employee retention.
Goal:
Improved Customer Experience
Large Companies
Small Companies
Legal - Contract Analysis
For:
Legal Associates and Paralegals.
Scope:
Using natural language processing to aid contract analysis by creating efficiencies for reviewers.
Goal:
Improved Employee Efficiency, Reduce costs, Improve Operation Efficiency
Large Companies
Retail - Customer Sentiment Analysis
For:
Retail managers, executives, marketeers and branding specialists. Goal:
Improved Customer ExperienceProblem addressed
Retailers require insights about customer sentiment in order to understand and keep up to date with how their target market perceives their brand and interacts with their products and services. Without customer sentiment analysis it is impossible to develop strategies around improving product quality, customer service, and brand loyalty. These insights are also critical for optimizing marketing campaigns.
Social media and other online channels contain vast amounts of information about how consumers perceive and consume products, brands, and services. The challenge is how to effectively distill this large volume of data into actionable insights in a robust and automated manner.
Scope of use case
Understanding consumer sentiment towards national grocery chains in South Africa using Natural Language Processing.
Description
Using Natural Language Processing (NLP) techniques, a subfield of Artificial Intelligence (AI), it is possible to automatically analyze large amounts of textual data to derive sentiment from public opinion online; furthermore, this information can be further classified into themes and topics that can inform retail decisions.
The consulting company Deloitte in collaboration with the data mining organization Brandseye applied such an approach to online consumer sentiment in South Africa1. Together they analyzed 1.7 million social media posts and other online content to gauge local consumer sentiment to national grocery chains. The outcome was 5 key themes centered around price consciousness, personalisation, convenience, sustainability and governance.
The ever increasing amount of online information coupled with the large strides in AI algorithm performance makes this an increasingly common solution for retailers seeking insights about their customer base. Many software vendors and open source software exist to enable implementation.
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AI: Perceive
Sentiment Analysis
AI: Understand
Other
AI: Act