Objective definition
Agree what is being improved and which requirements cannot be violated, including capacity, availability, and service commitments.
Intelligence in practice
Scheduling & Decision Support for Service Businesses
Custom decision-support software for service businesses. Improve planning for scheduling, dispatch, and capacity with explicit constraints and tradeoffs.
Discuss your AI project ↗Choose among feasible options
ObjectivesTravel time · service quality
ConstraintsSkills · capacity · commitments
Evaluate scenariosCompare tradeoffs within the limits
Option APrioritize shorter travel
Option BPrioritize service windows
Planner decidesInspect, adjust, and commit
A recommendation should explain its tradeoffs.
Blake Technologies builds decision-support tools for situations where teams must balance competing needs. Scheduling, inventory, routing, and resource allocation can combine prediction with deterministic constraints and optimization. We make objectives explicit, show the tradeoffs behind a recommendation, and give operators a way to change assumptions. The most useful result is often a better decision process rather than a single automatic answer.
Service businesses need to coordinate technicians, equipment, locations, and customer commitments. Our decision-support software helps planners compare feasible choices using the requirements that matter to their operation. Private equity operating teams can evaluate similar planning opportunities across portfolio companies while accounting for differences in geography, service mix, and available resources.
Separate the goal from the guardrails
Build a usable decision process
Scenario modeling
Compare feasible options under different demand, cost, and resource assumptions with understandable outputs.
Workflow delivery
Integrate recommendations into planning tools and preserve the ability to review, override, and record the final decision.
A useful distinction
Is optimization the same as generative AI?
No. Optimization selects among feasible choices under defined objectives and constraints. A language interface may help people describe a scenario, while mathematical or rule-based methods calculate and validate the options.
What supports the final decision
Your engagement outputs
- A documented objective and constraint model
- A scenario or recommendation tool for the agreed workflow
- Validation cases and an explanation of operational limits
Scope, schedule, team, and support are agreed for the engagement.