THE POSSIBILITIES, MADE PRACTICAL
Find your next
way forward.
Start with the work you want to improve.
Explore where AI could make a difference.
THE USE CASE LIBRARY
What could work
for your business?
Choose an industry. Explore a process.
Or start with a word that matters to you.
536 use cases to explore
IDEAS FOR YOUR NEXT CHAPTERPlan operations and changes in the store
AI supports store operations planning based on digitized norms. Helps organize the rotation and rearrangement of shelving. The result is a plan for operational changes that can be used when organizing the work of the retail space; specific calculation criteria depend on the adopted standardization system.
Explore the metadata
- AI capability
- Optimization & planning
- Input data
- Structured & accounting data
- Output
- Plan or schedule
Plan the position of the implant and the operation of the robot
AI processes preoperative CT scans to determine implant position for joint replacement. The prepared solution is used during the robotic operation. The result is a plan for implant placement and support for the surgical procedure under the responsibility of medical specialists.
Explore the metadata
- AI capability
- Autonomous control · Optimization & planning
- Input data
- Images
- Output
- Plan or schedule · Control action
Plan your trip
AI helps the user make a travel plan. Transforms the task of organizing a trip into a proposed route or sequence of actions for preparing a trip. The result is a plan that the user can review and refine; Specific options for selecting transport and booking are not provided here.
Explore the metadata
- AI capability
- Optimization & planning
- Input data
- Task-dependent data
- Output
- Plan or schedule
Plan crop rotation and field work
AI draws up a plan for agricultural work taking into account crops, field conditions, weather and available equipment. Coordinates crop rotation, preparatory operations, or harvesting with organizational constraints. The result is a sequence and schedule of work according to which equipment and specialists’ time can be distributed.
Explore the metadata
- AI capability
- Optimization & planning · Simulation & digital twins
- Input data
- Structured & accounting data · Maps & geospatial data
- Output
- Plan or schedule
Plan shifts based on workload
AI predicts the amount of work to be done and uses it when scheduling operator shifts. Aligns employee schedules with expected service needs. The result is a shift schedule that is based on a workload forecast, not just a fixed distribution of working hours.
Explore the metadata
- AI capability
- Forecasting · Optimization & planning
- Input data
- Structured & accounting data
- Output
- Plan or schedule · Forecast
Plan the timing of construction work
AI supports construction calendar and network planning: generates schedules and identifies critical areas and bottlenecks. Analysis helps proactively identify threats of delays and resource overruns. The result is a work schedule indicating problematic dependencies for subsequent management decisions.
Explore the metadata
- AI capability
- Forecasting · Optimization & planning
- Input data
- Structured & accounting data
- Output
- Plan or schedule · Alert
Plan debt settlement
AI creates a client profile and supports the choice of debt settlement actions. Models help plan work with a client and make decisions during the collection process. The result is an interaction plan and decision support; automated calls can be used as a separate method of communication.
Explore the metadata
- AI capability
- Optimization & planning · Reasoning & analysis · Workflow execution
- Input data
- Structured & accounting data
- Output
- Plan or schedule · Assessment or feedback
Academic work plans
AI composes the structure of a coursework, graduation paper, scientific article or other academic text on a given topic. Helps organize the sections and sequence of consideration of the issue before starting detailed writing. The resulting plan is the starting point: compliance with requirements, research logic and availability of sources must be clarified with the supervisor and checked independently.
Explore the metadata
- AI capability
- Content generation
- Input data
- Text & messages
- Output
- Plan or schedule · Content
Reusing Similar Answers
The semantic cache helps you use a previously prepared answer to a query that is similar in meaning in the AI help. Compares the content of the question with the saved results so as not to process the same need again. Before re-issuing, it is important to consider the relevance of the information and differences in context: semantic similarity does not always mean complete interchangeability of answers.
Explore the metadata
- AI capability
- Knowledge retrieval
- Input data
- Text & messages
- Output
- Answer or recommendation
Select pharmacy products based on the request description
The assistant understands the customer's description of the need or symptoms and finds suitable pharmacy products in the catalog. It explains the available application information and guides you through selection or ordering. Difficult questions may be referred to the pharmacist; selection of goods is not declared to be an independent diagnosis or prescription of treatment.
Explore the metadata
- AI capability
- Recommendations & personalization
- Input data
- Text & messages · Structured & accounting data
- Output
- Answer or recommendation
Select dishes and place an order
The assistant clarifies the guest's wishes, selects dishes or drinks and uses the available assortment to create an order. In the intended scenario, he transfers the order to the service system, adds the item to the cart, or makes a reservation. The result links the recommendation to the operation performed rather than ending with advice.
Explore the metadata
- AI capability
- Design & discovery · Recommendations & personalization · Workflow execution
- Input data
- Text & messages · Structured & accounting data
- Output
- System action · Answer or recommendation
Select dishes taking into account preferences and restrictions
The assistant clarifies the guest's tastes, budget, mood and dietary restrictions and matches them with the menu. He recommends dishes, explains the composition and nutritional value, and takes into account allergies if any. The result helps to select suitable items and additional dishes, but in itself does not mean transferring the order for execution.
Explore the metadata
- AI capability
- Knowledge retrieval · Recommendations & personalization
- Input data
- Text & messages · Structured & accounting 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.
FROM POSSIBILITY TO PRACTICE