Proven pilots scaling into a nationwide labor-cost platform
Founder's 120-location restaurant network gives Shiftly a built-in pilot pipeline; forecasting engine proven by the CTO at a prior workforce-analytics startup; land-and-expand model fits multi-location chain buyers well.
Pre-revenue with a two-person founding team; only 2 POS integrations live at launch; early pilots lean heavily on the founder's personal chain relationships.
Franchise-association partnerships can unlock hundreds of locations per signed deal; payroll and compliance add-ons raise revenue per location; the labor-cost benchmarking data product opens a new recurring revenue line.
Incumbent POS and payroll vendors could bundle competing scheduling tools; hourly-wage compliance rules vary by state and slow rollout; chain IT procurement cycles can stall multi-location deals.
Low to moderate. Scheduling software is easy to build a demo of but hard to sell into multi-location operators, where integrations with POS and payroll systems, franchise-association trust, and proven payback data are the real moat. Shiftly's 25-pilot track record raises that bar for new entrants.
Moderate. Shiftly depends on POS and payroll vendors for data access, and a handful of large providers control most of the integration surface. Locking in payroll auto-sync partnerships in Phase 2 reduces this dependency over time.
Moderate and rising. Established players compete on general workforce management, but few combine live labor-cost forecasting with auto-scheduling built specifically for hourly retail, restaurant, and hospitality teams. Shiftly's forecasting engine is the differentiator, not the scheduling calendar itself.
Moderate. Regional chains can switch tools between budget cycles, but once payroll sync and compliance alerts are wired into daily operations, switching costs rise fast. Franchise-association partnerships also shift negotiating leverage toward Shiftly at scale.
High at the low end. Spreadsheets, whiteboards, and generic scheduling apps remain the default for most hourly-team operators today. Shiftly's substitute risk is inertia, not a superior product, which is why the pilot payback data matters.
A growing wave of predictive-scheduling and fair-workweek ordinances across US cities requires advance notice of shifts and penalties for last-minute changes. Compliance-alerts, shipping in Phase 2, turns this regulatory pressure into a reason to buy rather than a risk.
Minimum wage increases and persistent labor cost inflation are squeezing margins across retail, restaurant, and hospitality. Operators need tighter forecasting to protect margin, which is the core problem Shiftly's engine solves.
Hourly workers increasingly expect app-based scheduling, shift swaps, and pay visibility, the same convenience they get from consumer apps elsewhere. Shiftly's worker app meets that expectation directly and improves retention for operators.
Mature POS and payroll APIs now make deep integrations feasible at reasonable engineering cost, which is what makes payroll auto-sync and multi-chain scale achievable within the Phase 2 timeline.
Limited direct impact. Shiftly reduces paper schedule printouts and manual re-scheduling trips, a modest but real efficiency gain for large multi-location operators managing thousands of locations.
Wage-and-hour law, data privacy for payroll information, and predictive-scheduling statutes all apply directly to Shiftly's product. Compliance-alerts are built to keep operators inside these rules automatically.
POS providers, payroll processors, and franchise associations. The Phase 2 franchise-association partnership is the anchor relationship, opening a direct channel into hundreds of member locations at once.
Building and tuning the forecasting engine, shipping payroll auto-sync and compliance alerts, onboarding new chains, and maintaining POS integrations as the location count scales past 500.
The labor-cost operating system for hourly teams: auto-scheduling and live labor cost forecasting that cuts overstaffing and understaffing for retail, restaurant, and hospitality operators.
Dedicated onboarding for each chain, a direct sales team managing named accounts, and ongoing success support as locations scale from pilot to full rollout.
Multi-location retail, restaurant, and hospitality chains with hourly workforces, ranging from 25-location regional pilots to 500-plus-location national franchise groups.
The forecasting engine IP, POS and payroll integration library, the direct sales team, and the aggregate scheduling data that powers the Phase 3 benchmarking product.
Direct sales team, franchise-association partnerships, and POS and payroll partner referrals, layered in as Phase 2 scale demands a repeatable go-to-market motion.
Engineering for the forecasting engine and integrations, direct sales team salaries, customer onboarding and success, and cloud infrastructure that scales with location count.
Per-location SaaS subscription pricing across manager console and worker app, growing from $597K in Year 1 to $6.5M by Year 5 as locations scale past 5,000.
Hourly-team managers build schedules by gut feel, discover labor cost overruns only after payroll runs, and have no way to see cost impact before the shift is published.
Auto-scheduling and live labor-cost forecasting paired with a worker app for swaps, availability, and pay-to-date, all synced through POS and payroll integrations.
The labor-cost operating system for hourly teams, forecasting cost before the schedule is built rather than reporting it after payroll runs.
A founder who ran operations across 120 restaurant locations paired with a CTO who built and shipped the forecasting engine now powering Shiftly, at a startup acquired in 2023.
Regional retail, restaurant, and hospitality chains, from 25-location pilots to national franchise networks.
Locations live, labor cost accuracy, pilot payback speed, and net location retention as chains scale.
Direct sales, franchise-association partnerships, and POS and payroll partner referrals.
Engineering, integrations, direct sales headcount, and customer onboarding and success.
Per-location SaaS subscriptions across manager console and worker app, scaling from $597K in Year 1 to $6.5M in Year 5.
Founder-led leadership and lean finance operations manage the $1.5M seed against the 24-month roadmap, holding cash above the $68,263 floor projected around month 20.
Recruiting engineers for the forecasting engine and payroll integrations alongside a direct sales team built out through Phase 2 to support 500-plus locations.
The forecasting engine, auto-scheduling logic, and the POS and payroll integration library, extended in Phase 2 with payroll auto-sync and compliance alerts.
Sourcing and negotiating POS and payroll API partnerships, plus the franchise-association agreement that opens Phase 2's expansion into 15-plus chains.
Shift, sales, and payroll data pulled in through POS and payroll integrations.
The forecasting engine runs live labor cost projections and auto-generates schedules across every connected location, from the initial 25 pilots through the 500-location Phase 2 scale.
Schedules and pay-to-date delivered to the manager console and worker app.
A direct sales team built out through Phase 2, backed by the franchise-association partnership that opens a channel into 15-plus chains at once.
Onboarding, customer success, and compliance-alert support keep locations live and expanding.
Shiftly's target quadrant: enterprise-grade forecasting accuracy and auto-scheduling at a price built for multi-location retail and restaurant operators, not just national chains with six-figure IT budgets.
Legacy workforce-management suites sold through year-long enterprise contracts. Accurate, but priced and implemented for chains with dedicated HR IT teams, out of reach for most 15-500 location operators.
Generic scheduling apps and spreadsheets. Cheap and simple, but no labor-cost forecasting, no payroll sync, and no compliance alerts, so managers still guess at labor cost until the paycheck run.
Bloated legacy suites priced like enterprise software but built before mobile-first, hourly-worker use cases existed. Locked contracts, dated interfaces, thin forecasting.
Build an accurate weekly schedule against forecasted demand, keep labor cost within budget in real time, and sync hours straight to payroll without manual re-entry.
Stop dreading the labor-cost report. Managers want to feel in control of their P&L instead of finding out they're over budget after the fact.
Be seen by ops leadership as the location that hits its labor-cost targets, not the one flagged on the weekly variance call.
Manual spreadsheet schedules, last-minute call-offs, surprise overtime, and labor-cost numbers that only show up after the damage is done in payroll.
Schedules built in minutes instead of hours, labor cost visible before the week starts, and fewer compliance headaches from missed break or overtime rules.
Spreadsheets, generic scheduling apps, and legacy workforce-management suites, patched together with manual payroll exports and gut-feel staffing decisions.
Roughly $850 per location, driven down over time as franchise-association partnerships and word-of-mouth inside chains replace one-off direct sales.
Approximately $9,200 per location over a typical four-year retention life, based on per-location subscription and payroll-integration fees.
About 10.8x, comfortably above the 3x benchmark investors look for in B2B SaaS at this stage.
Under 12 months per location, in line with the pilot economics proven across the first 25 locations in Phase 1.
78%, consistent with the 43% EBITDA margin Shiftly is targeting by Year 5 once scale absorbs fixed platform and integration costs.
Under 8% annually at the location level, low for hourly-workforce software because scheduling and payroll data get embedded in daily manager workflow fast.
Deepen relationships inside the 15+ chains already on Shiftly, adding more locations per chain and pushing toward the Phase 2 target of 500 live locations.
Ship payroll auto-sync, compliance alerts, and the Phase 3 labor-cost benchmarking data product to sell more value into the existing hourly-team customer base.
Take the proven forecasting and scheduling engine into new verticals and geographies through franchise-association partnerships beyond the initial retail and restaurant base.
Longer-term, license the anonymized labor-cost benchmarking data itself as a standalone product for franchisors and industry associations, separate from the core scheduling subscription.
| Criterion | Assessment |
|---|---|
| Valuable | Shiftly cuts labor cost, the single largest controllable expense line for hourly retail and restaurant operators, directly improving margin location by location. |
| Rare | Few vendors combine real-time labor-cost forecasting with auto-scheduling and payroll sync in one product built specifically for hourly, multi-location teams. |
| Inimitable | The forecasting engine was built by the co-founder's team at a workforce-analytics startup and refined across two live POS integrations, hard to replicate quickly. |
| Organized | A founding team with direct 120-location operating experience and a proven forecasting engine, backed by a direct sales team built out in Phase 2. |
A major POS or payroll partner changes its integration terms. Unlikely, but would slow onboarding, so we track partner roadmaps and keep a second integration path live.
Slower-than-planned franchise-association sign-off stalls the Phase 2 partnership. We are running multiple association conversations in parallel rather than depending on one.
Minor feature requests from pilot locations that don't fit the near-term roadmap. Logged and revisited at each planning cycle rather than acted on immediately.
Ongoing pressure to discount pricing as competitors chase the same 500-location scale target. Held in check by locking in multi-year chain contracts early.