Scheduling the right shifts based on historical receipts

A manager spent ~2 hours a week building the staffing schedule in Excel. We built a tool that forecasts hourly volume from 3 years of Square data and drafts the optimal schedule automatically.

100 hours

Of scheduling time back every year

Scheduling rules codified into a centralized rule book

Months of Square transaction data behind the forecast

Excel files involved in building each week's schedule

Hours of shift saved in August 2026 vs August 2025

THE STORY

What we built

01 The Problem

Scheduling took hours each week, and it was hard to know how many shifts to assign.

Not knowing the demand, shifts were assigned based on the busiest day of the year. Staffing conditions across 50+ people made each week a challenge to accomodate.

01 The Problem

Scheduling took hours each week, and it was hard to know how many shifts to assign.

Not knowing the demand, shifts were assigned based on the busiest day of the year. Staffing conditions across 50+ people made each week a challenge to accomodate.

01 The Problem

Scheduling took hours each week, and it was hard to know how many shifts to assign.

Not knowing the demand, shifts were assigned based on the busiest day of the year. Staffing conditions across 50+ people made each week a challenge to accomodate.

02 The Solution

A tool that forecasts the shifts needed at every hour, then outputs the schedule

It pulls availability, PTO, and role training, so the shifts it builds are ones people can actually work. hen the manager overrides a suggestion, the tool learns from that too.

02 The Solution

A tool that forecasts the shifts needed at every hour, then outputs the schedule

It pulls availability, PTO, and role training, so the shifts it builds are ones people can actually work. hen the manager overrides a suggestion, the tool learns from that too.

02 The Solution

A tool that forecasts the shifts needed at every hour, then outputs the schedule

It pulls availability, PTO, and role training, so the shifts it builds are ones people can actually work. hen the manager overrides a suggestion, the tool learns from that too.

03 The Impact

A full week's draft schedule is waiting before the manager starts their day.

Understaffed shifts get flagged automatically, so gaps surface before the day arrives rather than during it. And the rules that used to live in one person's head now live in the system

03 The Impact

A full week's draft schedule is waiting before the manager starts their day.

Understaffed shifts get flagged automatically, so gaps surface before the day arrives rather than during it. And the rules that used to live in one person's head now live in the system

03 The Impact

A full week's draft schedule is waiting before the manager starts their day.

Understaffed shifts get flagged automatically, so gaps surface before the day arrives rather than during it. And the rules that used to live in one person's head now live in the system

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