AI assistance in marketing, sales and HR

This report by SBS Consulting analyses the use of neural networks in various business processes. It analyses examples of successful implementation of AI technologies in marketing, customer service and HR, as well as their impact on efficiency and productivity. The report presents specific cases and assesses the potential for increasing effiiency through the use of neural network solutions.

Marketing

Use cases of neural networks:

1. 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%

   
   
2. 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%

   
   
3. Deepl
   

   Process: Synchronising the English version of the website, improving texts

   
   

   Scope: Checking English texts, creating engaging images

   
   

   Estimated efficiency gains: 40%

   
   
4. Midjourney
   

   Process: Generating background images for posts and corporate presentations

   
   

   Scope: Icon and image creation

   
   

   Estimated efficiency gains: 30%

   
   
5. 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%

   
   

Impact on marketing:

• 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:

1. EBI.AI
   

   Process: Automating responses to customer enquiries

   
   

   Scope: Responses to simple queries, with complex cases left to the operators

   
   

   Estimated efficiency gains: 80%

   
   
2. DigitalGenius
   

   Process: Generating templates for email responses

   
   

   Scope: Incoming message processing

   
   

   Estimated efficiency gains: 20%

   
   
3. LivePerson and Botmother
   

   Process: Automating customer support via chat

   
   

   Scope: SIM card activation, account management, call handling

   
   

   Estimated efficiency gains: 34-40%

   
   
4. Conversational AI (neuro.net)
   

   Process: Processing orders without operator involvement

   
   

   Scope: Sale products and services, complaints handling

   
   

   Estimated efficiency gains: 34%

   
   
5. Haptik
   

   Process: Automating calls to customers

   
   

   Scope: Provision of information, sale of services

   
   

   Estimated efficiency gains: 60%

   
   

Impact on customer service and sales:

• 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:

1. AI4HR and ChatGPT
   

   Process: Generating job descriptions and postings

   
   

   Scope: Job descriptions, job postings, interview recording, meeting transcription

   
   

   Estimated efficiency gains: 50%

   
   
2. Chatbots
   

   Process: Interviewing and evaluating candidates

   
   

   Scope: Testing, interviewing

   
   

   Estimated efficiency gains: 25%

   
   
3. 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%

   
   
4. Quizgecko
   

   Process: Creating tests on a given topic

   
   

   Increased productivity of the HR department

   
   

   Improved quality of candidate selection and adaptation

   
   

Impact on HR:

• Reduced recruitment and training costs


• Increased productivity of the HR department


• Improved quality of candidate selection and adaptation

Conclusion

Implementing neural networks in marketing, customer service and HR can significantly increase efficiency and reduce the cost of routine tasks. Neural networks help improve content quality, automate customer service and optimise HR processes. The examples of successful application of AI technologies show that companies implementing such solutions gain competitive advantages and improve operational performance.