FORECASTING

Know What's Coming, Before It Hits the Counter

AI-generated demand forecasts give every store a labour plan built on real data — with room for the local knowledge only your managers have, and an approval workflow before it ever drives a schedule.

WHY FORECASTING

A forecast your managers can actually trust

Built from your own trading history and sharpened daily, LIFELENZ forecasting turns raw demand data into a labour plan — reviewed, adjusted, and approved before it ever reaches the schedule.

01

AI-Powered Demand Forecasts

Statistical forecasting models generate a sales and labour forecast for every store, every day, so managers start scheduling from a number they can trust.

02

Local Knowledge, Built In

Adjust or override the system-generated forecast for sports events, promotions, or weather — without discarding the underlying model.

03

Built-In Approval Workflow

Forecasts move through a formal review and approval step before they can drive scheduling, so no store builds a roster on an unvetted number.

04

Forecast Accuracy You Can Audit

Ongoing accuracy analysis shows how forecasted demand tracked against actuals, so operators can trust — and keep improving — the numbers behind every schedule.

Inside the product

Stop staffing on last week’s guess

A forecast that lands three weeks out, sharpens daily, and turns straight into a labour target your managers can trust. Review it, add what only you know, approve it — and the roster builds itself against real demand.

Know the week before you staff it

Labour is your largest controllable cost, and every hour of it is a bet on demand. LIFELENZ takes the guesswork out three to four weeks ahead — and sharpens the number every single day until the doors open.

  1. Forecasts built from your own trading history, plus weather, local events and holidays.
  2. Regenerated daily — the closer the date, the tighter the number.
  3. 20–50% more accurate than the legacy forecasting it replaces.

Get this right and everything downstream — labour, coverage, service — falls into place.

One forecast, from the week to the quarter-hour

Operators think in weeks. Shifts happen in fifteen-minute blocks. The same forecast answers both without switching tools.

  1. W for the shape of the trading week at a glance.
  2. D to drill into a single day, hour by hour.
  3. Labour broken down by role, filtered however you need it.
  4. Compare against the same week one or two weeks back.

The number gets better while you sleep

Forecasts behave like weather forecasts — they sharpen as the date approaches. Every version is kept, so you always work from the best available read.

  1. Pick the latest so your judgement sits on the freshest data.
  2. Older versions stay available for comparison and audit.
  3. No usable history for a day? Replace Forecast borrows a comparable one.

“LIFELENZ forecasts become more accurate as the date approaches.”

See the peak inside the peak

An hourly view tells you lunch is busy. A fifteen-minute view tells you the twenty minutes that decide whether the queue holds.

  1. 1 hr for the shape of the day; 15 min for the pinch points.
  2. Express demand in whichever driver runs your business.
  3. Labour redistributes underneath whichever view you choose.

Every day part, priced in labour

Sales forecast and the labour hours it implies, side by side, before a single shift exists. This is where the cost of the week is decided.

  1. Forecast and labour hours for every day part.
  2. The afternoon trough is where labour percentage quietly leaks.
  3. Change a day part and the hours recalculate on the spot.

Demand and people on the same picture

The line is what your guests are about to do. The bars are the people it takes to serve them. When those two shapes disagree, you are either losing sales or paying for idle time.

  1. Roles colour-coded, with employee counts on every interval.
  2. Store hours along the bottom — coverage legible at a glance.
  3. Hide a role from the graph without touching the labour totals.

You still know things the model doesn't

Road works outside. A school playoff down the road. A competitor closed for refit. Type it straight onto the day part and the whole plan follows — logged, attributed and reversible.

  1. Adjust a day part or the whole day; it saves as you type.
  2. The note records why; the bin puts it back.
  3. Labour hours re-allocate automatically across roles.
  4. History shows who changed what, when, and by how much.

The discipline that makes it work: only adjust for something the model could not have known.

Approve once, and the roster builds itself

Approval locks the number and freezes the labour target — so scheduling starts from ground that will not shift underneath it.

  1. Submit for Approval with a comment; retract any time.
  2. Above-store approval, or clear a whole estate in one pass.
  3. AOS only runs on an approved forecast — the two are joined at the hip.
  4. Afterwards, accuracy is measured against actuals and flagged in red past your threshold.

This is the handshake between forecasting and scheduling — and the reason 91% of schedules ran automated at McDonald's UK&I.

See forecasting-driven scheduling for your stores

Talk to a LIFELENZ specialist about rolling out AI-powered forecasting, manager overrides, and approval workflows across your brand.