Access our powerful
technology across multiple tools

Whether you want your dispatchers to have more granular scheduling
options, or if you want to make sure clients can self-book optimized time slots, Smart Clusters has you covered!

Allow clients to self-book, cluster nearby bookings together, minimize each provider's travel time, and never deal with large gaps in schedules or bookings too close together ever again – all this and more with our powerful Smart Clusters technology!

Companies trust MarketBox for their AI scheduling and route optimization tools

45%

160%

98%

Reduction in schedule
gaps and travel time

Average increase
in online bookings

of dispatchers report
increased productivity

How does Smart Clusters work?

Smart Clusters analyzes a team's schedules and determines the most optimized bookable time slots based on existing nearby appointments and traffic patterns, resulting in decreased drive time between bookings, no gaps in the calendar and no unbookable stretches

We can modify our algorithms to include a variety of parameters to suit your needs, including provider skills, geo zones and utilization rates

Want to learn more about how Smart Clusters can add value to your organization?

Get inspired

Check out some of the problems that Smart Clusters has already solved!

Use case: schedule or reschedule clients onto an optimized time

A dispatcher has a client on the phone and needs to book an appointment for them, while making sure it goes to the correct provider or truck and that it can fit into their schedule in the most optimized position relative to existing bookings

Possible implementations: Dispatcher Co-pilot, AI chat agent, client booking portal

Top industries: field services, in-home lessons

Use case: determine which waitlist client can fit into a newly opened up time slot

A provider has a cancellation in the middle of their day and a dispatcher needs to quickly figure out which waitlist client to put into the available slot

Possible implementations: Dispatcher Co-pilot

Top industries: field services, Vertical SaaS

Use case: bulk allocate multiple waitlist clients to a newly onboarded provider

You've hired a new provider with fresh availability and you need to fill up their schedule with clients from the waitlist, while still making sure all travel times between bookings are optimized

Possible implementations: Dispatcher Co-pilot

Top industries: field services, Vertical SaaS

Use case: optimize existing schedules across multiple providers or trucks

Check your week's schedule for all providers to make sure nobody has large gaps, unbookable time or bookings too close together, and nudge any "non-compliant" bookings in either direction to optimize them

Possible implementations: Dispatcher Co-pilot

Top industries: field services, Vertical SaaS

Use case: see which providers can serve a client just outside of the coverage area

You have a client on the waitlist who is located a short distance outside of the coverage area boundary, but close enough that one of the existing providers may be able to take the booking, with or without a travel fee

Possible implementations: Dispatcher Co-pilot

Top industries: field services, Vertical SaaS

Use case: bulk upload a list of bookings to create an optimized route

Take a list of unassigned bookings that need to be scheduled in a given time frame, while still making sure each provider's maximum travel time between bookings is respected

Possible implementations: Dispatcher bulk optimizer

Top industries: field services, Vertical SaaS

Use case: rebook a provider's clients if they call in sick for the day or leave the company

A provider calls in sick and you need to rebook their clients to other providers, while still making sure their routes are optimized and nobody's schedule is broken because of the new bookings

Possible implementations: Dispatcher Co-pilot

Top industries: field services, Vertical SaaS

Want us to tackle another use case?

If you think that our technology could be applied to one of your use cases, please get in touch and describe your situation, we'd love to help!

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