Marketing
Use cases of neural networks:- WriteMail.ai
Process: Generating text content for marketing purposes
Scope: Writing template texts for social networks and mailing lists, event announcements, standard posts, internal and external marketing mailings
Estimated efficiency gains: 30%
- ChatGPT
Process: Paragraph-by-paragraph text generation for websites, keyword-based writing of long-form articles/p>
Scope: Content generation for websites, text improvement
Estimated efficiency gains: 40%
- Deepl
Process: Synchronising the English version of the website, improving texts
Scope: Checking English texts, creating engaging images
Estimated efficiency gains: 40%
- Midjourney
Process: Generating background images for posts and corporate presentations
Scope: Icon and image creation
Estimated efficiency gains: 30%
- Namecheap and Namelix
Process: Generating ideas for naming and logos
Scope: Creation of corporate identity, including business cards and brand books
Estimated efficiency gains: 30-40%
- Improved quality of texts and images
- Reduced cost of content creation
- Increased customer engagement through high-quality and personalised content
Customer service and sales
Use cases of neural networks:- EBI.AI
Process: Automating responses to customer enquiries
Scope: Responses to simple queries, with complex cases left to the operators
Estimated efficiency gains: 80%
- DigitalGenius
Process: Generating templates for email responses
Scope: Incoming message processing
Estimated efficiency gains: 20%
- LivePerson and Botmother
Process: Automating customer support via chat
Scope: SIM card activation, account management, call handling
Estimated efficiency gains: 34-40%
- Conversational AI (neuro.net)
Process: Processing orders without operator involvement
Scope: Sale products and services, complaints handling
Estimated efficiency gains: 34%
- Haptik
Process: Automating calls to customers
Scope: Provision of information, sale of services
Estimated efficiency gains: 60%
- Reduced customer support costs by 20-40%
- Increased productivity of customer service departments by 30-50%
- Increased number of customers and potential sales by 50%
HR
Use cases of neural networks:- AI4HR and ChatGPT
Process: Generating job descriptions and postings
Scope: Job descriptions, job postings, interview recording, meeting transcription
Estimated efficiency gains: 50%
- Chatbots
Process: Interviewing and evaluating candidates
Scope: Testing, interviewing
Estimated efficiency gains: 25%
- Nanonets and Gamma
Process: Processing of single-type documents, designing presentations
Scope: Training and seminar preparation, test and quiz design
Estimated efficiency gains: 20-25%
- Quizgecko
Process: Creating tests on a given topic
Increased productivity of the HR department
Improved quality of candidate selection and adaptation
- Reduced recruitment and training costs
- Increased productivity of the HR department
- Improved quality of candidate selection and adaptation