THE POSSIBILITIES, MADE PRACTICAL
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THE USE CASE LIBRARY
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536 use cases to explore
IDEAS FOR YOUR NEXT CHAPTERSelect products based on your request and preferences
The assistant matches the buyer's request, interests and limitations with the assortment. It can clarify specifications, take into account budget, availability and behavioral history, and then suggest suitable products or alternatives. The result is a selection for selection, without the need to place an order; one task applies to different types of products.
Explore the metadata
- AI capability
- Knowledge retrieval · Recommendations & personalization
- Input data
- Text & messages · Structured & accounting data
- Output
- Answer or recommendation
Select care based on skin photo
The system analyzes a photograph of the face and, if available, the answers to the questionnaire, determines the visible features of the skin and suggests suitable care products. The selection may take into account the current assortment of the store. The result is a personal recommendation of cosmetics; the visual assessment is not declared as a medical diagnosis, and the virtual fitting is an additional option for a separate scenario.
Explore the metadata
- AI capability
- Content generation · Perception & recognition · Recommendations & personalization
- Input data
- Images · Text & messages · Structured & accounting data
- Output
- Answer or recommendation · Assessment or feedback
Selection of books by free request
AI interprets the description of reader interest, compares it with available books and checks the proximity of the found options to the request. The user receives a selection for further selection without the need to know the exact name. Recommendations reflect available descriptions and do not guarantee that they will meet personal reading expectations.
Explore the metadata
- AI capability
- Knowledge retrieval
- Input data
- Text & messages · Structured & accounting data
- Output
- Answer or recommendation
Prepare data quality checks
The assistant creates checks for new tables and resolves recurring data quality incidents. The result helps maintain control over the suitability of the data for further use. This task relates to generating test logic and error analysis, rather than automatically correcting all entries in the repository.
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- AI capability
- Reasoning & analysis · Software engineering
- Input data
- Structured & accounting data
- Output
- Code or software configuration · Assessment or feedback
Preparation of purchasing materials
AI helps employees, suppliers and contractors access relevant information and prepare procurement documents. Combines information support with the creation of working drafts. The specialist checks the requirements, conditions and completeness of materials before inclusion in the procurement procedure; automatic negotiation or supplier selection does not follow from the described function.
Explore the metadata
- AI capability
- Content generation · Knowledge retrieval
- Input data
- Text & messages · Documents & scans
- Output
- Answer or recommendation · Content
Preparation of commercial proposals
The AI collects a draft commercial proposal from information about the object, scope of work, product and available terms of sale. Can take into account specified discount rules and compare offer options. The employee receives the material for approval with the client, checking the calculations, the relevance of prices and compliance with commercial authority.
Explore the metadata
- AI capability
- Content generation · Knowledge retrieval · Reasoning & analysis · Workflow execution
- Input data
- Structured & accounting data · Text & messages
- Output
- Content
Preparing materials for the lesson
AI creates a lesson plan, notes, assignments and test questions on a given topic. Uses provided instructional materials and program limitations, taking into account class specifics where indicated. The teacher receives blanks for further refinement and verification: age appropriateness, subject accuracy and pedagogical appropriateness remain his responsibility.
Explore the metadata
- AI capability
- Content generation · Learning & assessment · Recommendations & personalization
- Input data
- Text & messages · Documents & scans
- Output
- Content · Plan or schedule
Preparation of work to raise funds
AI helps you research audiences, identify groups of potential supporters, write letters and plan team fundraising efforts. Combines analytical and editorial preparations around a specific campaign. The team receives a basis for coordinating communications and distributing tasks, while maintaining responsibility for the correctness of requests and the use of information about recipients.
Explore the metadata
- AI capability
- Content generation · Optimization & planning · Reasoning & analysis
- Input data
- Text & messages · Structured & accounting data
- Output
- Plan or schedule · Content · Report or summary
Preparation of advertising mailings
AI creates email subject lines, introductory lines, body copy, and images for the email. Offers several wording options and helps edit the selected material. The marketer receives blanks for approval and comparative verification; product statements, terms of the offer and the final composition of the mailing remain under the control of the team.
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- AI capability
- Content generation
- Input data
- Text & messages
- Output
- Content
Preparation of articles for the site
AI creates articles on given topics and source materials, helps structure the text and take into account search queries. In supported scripts, it adds internal links and performs initial text checks. The editor receives a draft or prepared publication; the reliability, originality of conclusions and the absence of unconfirmed statements require separate assessment.
Explore the metadata
- AI capability
- Content generation · Workflow execution
- Input data
- Text & messages · Documents & scans
- Output
- Content
Preparation of technical specifications
AI helps turn a business idea into a structured technical task, based on available information about the system and its capabilities. Formulates requirements and clarifications for discussion with developers. The resulting document serves as the initial version: the scope of work, restrictions and acceptance criteria must be agreed upon with interested specialists.
Explore the metadata
- AI capability
- Content generation · Knowledge retrieval
- Input data
- Text & messages · Documents & scans · Source code
- Output
- Content
Workflow automation support
For repetitive workflows, AI can parse incoming requests, extract relevant information, and prepare materials for the next step. The employee receives a structured task or a draft result that can be checked and passed on.
Explore the metadata
- AI capability
- Reasoning & analysis
- Input data
- Task-dependent data
- Output
- Answer or recommendation
These are potential applications, not implementation results. Industry categories are a starting point; suitability depends on your process, data and constraints.
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