deck

2. Pitch Deck (15 slides)

Slide 1 - Cover (LAVisions layout)layout: title_hero · 16:9
Shiftly
this is better much better
Slide 2 - Problem (LAVisions layout)layout: problem_split · 16:9
the problem
An $18B market where 80M hourly workers are scheduled with spreadsheets
01
No labor-cost visibility until payroll runs
Managers find out about overspend two weeks after scheduling
02
Chronic understaffing and overstaffing on every shift
Poor scheduling drives up to 30% frontline turnover annually
03
Schedules built by hand in spreadsheets
Managers spend 4-6 hours a week building schedules manually
5 hrs/week
lost each week building schedules by hand in spreadsheets
TTA internal operator survey, 2026
Slide 3 - Solution (LAVisions layout)layout: solution_image_left · 16:9
the solution
Shiftly builds the right schedule automatically, shows labor cost against sales in real time, so managers hit target margins without guesswork
Turns hours of guesswork into an accurate schedule before editing
Slide 4 - Product (LAVisions layout)layout: product_split · 16:9
the product
A manager console and worker app that gets scheduling right instantly
01
Auto-Generated Schedules
Drafts a full schedule hitting labor-cost targets in minutes
02
Live Labor-Cost Tracking
Shows labor cost against forecasted sales as shifts run
03
Worker Self-Service App
Lets staff swap shifts, request time off, and check pay
Together they turn scheduling from a guessing game into a controlled process
Slide 5 - How it Works (LAVisions layout)layout: how_it_works · 16:9
How it works
Connect, forecast, and publish a schedule in one afternoon
Step 01
Connect Your POS and Payroll
Link your systems in minutes, no manual setup needed
Step 02
Forecast Hourly Demand
Predicts customer traffic hour by hour from real sales data
Step 03
Auto-Schedule to Target
Builds a draft schedule that hits your labor-cost goal
Step 04
Approve and Publish
Manager reviews the draft and publishes it in one click
Step 05
Work, Swap, Get Paid
Staff view shifts, swap coverage, and track pay to date
From signup to a first published schedule in under a day
Slide 6 - Value Proposition (LAVisions layout)layout: value_prop · 16:9
Value proposition
The only approach that shows labor cost before it happens
Current Solutions
Manual spreadsheet scheduling
  • No visibility into labor cost
  • Hours spent building each week
  • Error-prone and slow to fix
  • Free but completely reactive
Generic calendar scheduling tools
  • Publishes shifts, no cost forecast
  • Faster than spreadsheets to build
  • No demand or sales data
  • Moderate cost, limited insight
Waiting for the payroll report
  • Zero effort until numbers land
  • Cost known weeks too late
  • No chance to course-correct
  • No cost, but no control
With Tempo
  • Live labor cost, always visible
  • Auto-built in minutes, not hours
  • Forecast-driven, accurate before editing
  • $6 per employee, fully costed
The only option that shows labor cost before payroll, not after
Slide 7 - Features (LAVisions layout)layout: product_split · 16:9
Features and benefits
Every feature exists to protect one number: your labor cost
01
Auto Schedule Builder
Builds a schedule hitting your cost target
02
Live Cost Tracking
Tracks labor cost against sales live
03
Shift Swap App
Lets staff trade shifts without calling managers
04
Demand Forecasting
Predicts hourly traffic from POS data
05
Pay Visibility
Staff see pay-to-date right in the app
Why now
Fair-scheduling laws and thin margins make this unavoidable now
01
Fair-scheduling laws spreading city by city
Predictive-scheduling ordinances now cover major metro markets, with more cities passing new fair-workweek rules each year
02
POS and payroll data now real-time
Modern POS and payroll platforms now expose live sales and labor data via API, making automated forecasting possible for the first time
03
Frontline turnover crisis in hospitality
Retail and restaurant turnover remains near 60% annually, and operators increasingly link it to unpredictable, poorly-costed scheduling
Market opportunity
An $18B market with no clear labor-scheduling leader
TAMSAMSOM
$18BTotal addressable market
80M hourly workers x ~$225 annual value
TTA market model, 2026, top-down estimate
$4.2BServiceable addressable market
Regional multi-location chains x target ARPU per location
TAM filtered to 10-100 location chains
$210MServiceable obtainable market
5-year capture of SAM via land-and-expand
Consistent with comparable vertical-SaaS land-and-expand benchmarks
Slide 9 - Business Model (LAVisions layout)layout: business_model · 16:9
business model
Per-employee SaaS subscription billed monthly at the location level
Main income
Per-employee subscription: $6 per scheduled employee per month
$6 per scheduled employee, per month, per location
Unit economics
Premium compliance-alerts tier for multi-state operators
Payroll auto-sync add-on billed per employee per month
Slide 10 - Go To Market (LAVisions layout)layout: product_split · 16:9
Go to market
Direct sales to regional chains, land-and-expand to franchise
01
Direct regional-chain sales
Founder-led outreach to multi-location chains; 90-day pilot pipeline
02
POS and payroll partnerships
Co-sell with POS and payroll vendors already inside target accounts
03
Restaurant association events
Sponsor trade shows where multi-unit operators gather; 3 events per quarter
04
Franchise-owner referral program
Existing locations refer sibling franchisees; 20% of Phase 2 pipeline
05
Labor-cost benchmarking content
Publish industry labor-cost benchmarks to draw inbound from operators
Slide 11 - Team (LAVisions layout)layout: team_grid · 16:9
The team
A decade running restaurant labor ops, now building the fix
Marcus Reyes
CEO and Co-Founder
Ex-regional ops director, 120 restaurants, a decade fighting this
Priya Anand
CTO and Co-Founder
Built the forecasting engine at a 2023-acquired workforce-analytics startup
Jordan Wells
Head of Product, Co-Founder
Ex-product lead for frontline ops software, the workers' advocate
Slide 12 - Competitive Advantage (LAVisions layout)layout: competitive_matrix · 16:9
Competitive advantage
Purpose-built forecasting beats generic scheduling tools
subheadline
01
Forecasts demand from POS data, not manager guesswork
02
Built by an operator who lived this exact problem
03
Shows live labor cost against forecasted sales in real time
04
Worker app drives adoption generic manager-only tools never achieve
Ease of Setup
Forecast Accuracy
Deputy
When I Work
Legion
ShiftlyShiftly
Slide 13 - Roadmap (LAVisions layout)layout: roadmap_3phase · 16:9
Roadmap
Three phases from pilot proof to national franchise rollout
Now - Q2 2027
Seed (raising now)
Prove payback with 25 pilots
Sign 25 pilot locations across 3 regional chains
Ship POS and foot-traffic demand forecasting
Launch manager console auto-scheduling in production
Launch worker app for swaps and pay visibility
Prove labor-cost payback across all 25 pilot sites
Q3 2027 - Q4 2028
Series A target
Scale to 500 locations
Expand to 500 locations across new chains
Ship payroll auto-sync across major providers
Launch compliance alerts for scheduling law changes
Hire VP Sales to lead regional-chain sales
Hire Senior Data Scientist for new verticals
2029 - 2030
Series B target
Become the category default
Roll out to national franchise networks
Reach 8,770 total locations and users
Launch labor-benchmarking data product
Hit $6.5M revenue at 43% EBITDA margin
Extend forecasting model into new hourly verticals
Slide 14 - Forecast (LAVisions layout)layout: forecast_kpi_chart · 16:9
Forecast
Profitable by month 22, scaling to $6.5M by year 5
Capital Raised$1.5M2 rounds
Revenue (24m)$1.68Mcumulative
Minimum Cash$68,263Month 13
Cash at Month 24$312,000period end
Two raises totaling $1.5M carry Shiftly through the cash trough at month 20 to EBITDA-positive growth.
Slide 15 - Ask (LAVisions layout)layout: ask_kpi_charts · 16:9
The ask
Raising $1.5M seed; first $1.0M close at $21.4M pre-money
The Ask$1.5MSeed - priced equity at $21.4M pre-money
Runway24 monthsto EBITDA-positive growth across both raises
Profitable fromMonth 22EBITDA positive on the conservative case
Cash bridge · $M
Cost allocation