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Conversational Optimization

Support decision-making through natural language conversations for problems requiring optimization.

Challenges

Solving optimization business issues requires significant time and expert knowledge in the formulation¹ process.

The benefits of Conversational Optimization

Quickly solving combinatorial optimization problems through a conversational interface

Automatic conversion to mathematical expressions

• Chat-style input of requirements automatically formulates optimization problems.

• For example, a process that used to take a month to formulate a factory staffing problem was reduced to a day.

Automatic solver selection

• The appropriate optimization solver² is automatically selected based on the problem.

Use cases: Assignment of tasks to machines, allocation of classrooms, staff shift planning, truck delivery planning, etc.

Job allocation to machines (Shortest five-machine job completion)

Features of the technology

• Accurate processing through the integration of a conversational AI agent and a problem-solving AI agent.

• Digital Annealer³, VRP Platform⁴, and QQA⁵ as optimization solvers allow for the efficient solution of large combinatorial optimization problems.

Contact Us

For a demonstration or to test Fujitsu Kozuchi, please get in touch

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1. Formulation: Describing the conditions (requirements) to solve optimization problems as mathematical expressions ↩

2. Optimization solver: Tools for solving optimization problems, of which there are different types depending on the domain and type of problem ↩

3. Digital Annealer: Fujitsu's quantum-inspired technology for solving combinatorial optimization problems at high speed ↩

4. VRP Platform: Fujitsu's optimization platform technology capable of solving a variety of vehicle routing problems (VRPs) ↩

5. QQA: Fujitsu’s optimization technology to solve difficult discrete problems by relaxing them to continuous problems​ ↩