The agentic workforce platform
LIFELENZ forecasts demand, builds the schedule overnight, then watches the shift as it trades, explaining what it sees and staging the fix before you need it. You decide. It does the work.
Why the world's biggest brands trust LIFELENZ




+1–3pp
Profit margin uplift
+20%
Sales per labor hour
50%
Less time building schedules
98%
Crew adoption of the app
20–50%
Improved forecasting accuracy
The challenge
Big rosters, changing availability and constant swaps to keep on top of every week.
Labor is the largest cost you can control in a restaurant, so every hour counts.
Weather, promos and local events move demand all day, and the schedule has to keep up.
Break rules, minor limits and premium pay change by location, and every miss costs money.
Managers spend hours building schedules by hand instead of running the floor.
Last-minute gaps leave shifts short and put pressure on the crew who showed up.
Getting the right trained person on each station at the right time is hard to do by hand.
Sales per labor hour and labor cost targets need watching every shift, not every week.
The cost of getting it wrong
01 · Forecast
Years of historical data used to forecast demand in 15-minute intervals, automatically learning from human adjustments to improve over time.
Up to 50% more accurate than legacy products
02 · Optimize
Automated Scheduling considers the demand forecast, staff availability & skills, and pay rates to produce a name-populated, cost-optimized, fully-compliant schedule.
Right people · right place · right time
03 · Automate
Last minute no-shows? Our agents autonomously organize a replacement. Every action logged and reversible.
Trusted AI · fully auditable · you stay in control
AI IN ACTION
This is one ordinary Wednesday in one restaurant, and the three moments where a normal day quietly loses money: a no-show at open, a break about to become premium pay, and a storm that rewrites the evening. Pick a moment to see exactly what the AI saw, why it mattered in dollars, and the fix it had ready, which you preview and apply exactly as a manager would.
Every restaurant, scored across the five things that decide a trading day, and rolled into a single Day Health number your operators can scan in seconds.
Are the hours you’re paying for turning into sales? Live sales vs forecast, sales per labor hour, and labor as a % of sales, scored against plan, not last week.
Will the roster you published actually happen? No-shows, late starts and unfilled hours pull this score down the moment they occur, with cover options priced and ready.
Your legal exposure, scored before it costs you. Missed breaks, minor-law limits and premium-pay triggers are counted while there’s still time to fix the shift.
How the customer feels the schedule. Speed of service and order assembly against target, hour by hour, the first tier to slip when staffing is wrong.
Coming soon: early-warning signals for the crew itself, like excessive consecutive shifts, cut breaks and schedule churn, before they become turnover.
Every recommendation is previewable, reversible and logged.
Every recommendation shows its projected impact first: speed, throughput, cost. Clear the preview and nothing happened.
Manual edits merge into the same record as a first-class entry, not an exception.
Every action logged and reversible. Employee consent captured on punch edits where the rules require it.
Case study · McDonald's UK&I
Deployed across the McDonald's UK & Ireland network, LIFELENZ automated scheduling, sharpening schedules, reducing costs and freeing managers to spend time on the floor.
McDonald's UK & Ireland · ~1,600 restaurants