CROSS CAT launches CC-Dash AI Timetable, supporting the efficiency and standardization of complex timetable scheduling operations

Cross Cat will begin offering “CC-Dash AI Timetable” in October, a service that automatically creates university timetables, work shifts and production plans while taking multiple conditions into account. It also offers a process for first validating applicability and effectiveness through a proof of concept (PoC) before moving to a production system.

Worth reading

50Recurring

0–100. This measures how worthwhile something is to read, not how good or bad the company is.

Direction

Improvement

Direction inferred from the company’s description.

Scale

240

¥10,000 and up (excluding tax) / 1 month and up

Wording

Conditional

How definitive the wording is.

Announced details

CC-Dash AI TimetableCC-Dash

Applicable field (uses covered by this announcement)

University and educational institution timetable schedulingWork shift schedulingStaffing and work assignmentProduction schedule planning

Launch dateOctober 2026 (scheduled)

Offering price

¥2.4 million and up (excluding tax) / 1 month and up

The company does not address Contract Value / Impact on Business Performance.

Announced details
Item	Details
Names of Products / Services Covered	CC-Dash AI Timetable, CC-Dash
Offering price	¥2.4 million and up (excluding tax) / 1 month and up
Launch date	October 2026 (scheduled)
Applicable area	University and educational institution timetable scheduling, Work shift scheduling, Staffing and work assignment, Production schedule planning

Items this document does not state (14)

CounterpartyCounterparty overviewRelationship with the CompanyContract ValueContract DateAward/certification nameAwarding / certifying bodyRegistration number and expiry dateLocationLocation scaleQuantitative EffectsUsage historyImpact on Business PerformanceSource

These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.

The reasons the company gives

The company's own explanation, not something inferred from the numbers.

To help reduce the workload involved in creating timetables, shifts and production plans, eliminate dependence on individual experience and intuition, and reduce the burden of readjustment when conditions change.

How to read this page

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Corrections happenIf the company reissues this disclosure, the page is rebuilt from the corrected version and the revision number moves up.