AI Labour Demand Forecasting

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AI Labour Demand Forecasting
AI Labour Demand Forecasting
Building a labour demand curve in 15-30 minutes, hourly, daily or weekly intervals from real trading signals, showing exactly when and where staff are needed.

What is AI Labour Demand Forecasting?

AI Labour Demand Forecasting uses artificial intelligence to build a labour demand curve, mapping precisely how staffing needs rise and fall across the day. By analysing sales, transactions, footfall, bank holidays, local events and much more, we forecasts your labour demand needs in your desired intervals and locations.

This gives your organisation a true picture of the demand for labour that traditional, static planning can’t provide.

Delivering real impact

£ M +

Proven annual increase in revenue through Labour Demand Forecasting

:1

ROI, for every £1 invested delivers at least £10 in measurable value

Hours of overtime saved weekly per site

Modes of optimisation

p

Saved per shift
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How it can help your business

Clarity on True Demand

The AI produces a labour demand curve that shows, by site and daypart, when and where staff hours are actually needed. Leaders gain the visibility to plan confidently, reduce overspend, and protect service quality.

Demand-Aligned Labour Budgets

Allocate staff by venue, by 15-30 minutes, hourly, daily or weekly intervals windows so teams spend only where demand exists, and hold budgets to account across the estate.

Time and Cost Savings

AI-powered labour demand forecasting eliminates the hours managers waste manually calculating peaks and troughs, saving over 61 hours of overtime per site each week. More importantly, it cuts wasted labour spend by revealing exactly when staff are needed, so you only invest in the hours that drive revenue.

Adaptable to Every Scenario

From seasonal peaks to unexpected events, the demand curve evolves continuously, ensuring plans reflect reality, not past trends.

Enterprise-Ready Insight

The demand curve becomes a single source of truth across WFM, HR, ERP and restaurant management systems, so every team plans from the same insights, site by site and at estate level.

Proven ROI at Scale

Enterprises using our solution have unlocked up to £5.5m in savings and a 2.5% uplift in revenue a year.

How it works

Three optimisation modes

Profit‑first shapes the demand curve to protect your margins. Customer service‑first prioritises coverage at demand peaks. Historic operating average balances both in line with how your business has traditionally run.

Multivariate & highly complex

Our AI ingests thousands of variables, from sales and transactions to footfall, holidays, and local events, and distils them into a clear labour demand curve managers can use with confidence.

Continuously evolving

The model learns week by week, refining forecasts as new data comes in. Your demand curve is never static; it adapts alongside your business and the market.

Safe, transparent, responsible

Certified to ISO 42001:2023, ISO 27001:2022 and Cyber Essentials Plus. Fewer than 50 organisations worldwide have achieved ISO 42001:2023 to date, and our system explains the drivers behind each forecast, so decisions are safe, transparent and responsible.

Scenario-ready

Our AI automatically factors in seasonal peaks, bank holidays, sporting events and sudden demand shifts when building the labour demand curve, keeping forecasts accurate even as conditions change.

Tailored to every location

Whether you run a single store or a global estate, our AI builds demand curves tailored to each location’s unique patterns. From local footfall to regional events, every site gets forecasts grounded in its own reality, giving leaders the insight to plan with confidence at every scale.
Trusted by leading organisations

Unmatched precision in four simple steps

1

Gather

We organise your historical sales, transactions, footfall and operational signals so the model learns what truly drives labour demand.

Enrich

External data enrichment, such as weather, events, and holidays, and much more, is layered in.
2

Optimise

Our AI demand forecasting engine selects the most accurate model to build an accurate demand forecast.
3

Deliver

These forecasts are transformed into live labour demand curves, delivered into your planning tools as actionable insights.
4

Case Studies

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A partnership built on ROI

As your AI partner, we handle the heavy lifting, so you don’t need a team of data scientists. Our goal is to help you solve your most pressing challenges and achieve real results, and so, to ensure the solution is right for you, we provide a paid proof of concept to validate your data and potential ROI.

Our pricing structure is simple - we ask for a 10:1 ROI. £1 invested = minimum £10 saved.
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FAQ

The model calculates the demand curve by analysing factors such as sales, transactions, footfall, holidays, events and much more. Scheduling AI then converts that curve into headcount requirements, based on service standards, task times, and labour rules.

In SolvedBy.Ai, a labour demand curve represents the relationship between forecast demand and the labour required to deliver it, broken down by role, skill, location, and time. It is generated by translating demand forecasts into workload and service requirements, modelling how labour needs rise and fall as conditions change. This allows organisations to move beyond fixed headcount or average staffing assumptions and instead plan workforce levels dynamically, identifying where capacity shortfalls or excess will occur before they impact cost, service, or operational performance.

Traditional tools rely on static averages and manual adjustments. AI Labour Demand Forecasting provides a dynamic labour demand curve enriched with many external signals, giving managers and systems a precise input to build schedules from. It doesn’t replace scheduling; it powers it with better data.

By revealing exactly when staff are needed and when they aren’t, the demand curve ensures labour spend is focused on the hours that deliver value. That means no wasted hours during quiet periods and no costly understaffing when demand peaks.

Yes. With staff aligned to actual demand peaks, queues are shorter, service is faster, and customers are happier. 

Our customers typically achieve 2.5% annual uplift in revenue across estates using Labour Demand Forecasting and we price against a 10:1 ROI.

Because the demand curve is generated based on a real demand, managers save over 61 hours per site in overtime.

It uses store-level data such as sales, transactions, and footfall, plus external signals like events and holidays, to produce a site-specific demand curve. This gives retailers visibility of exactly when staff are needed to meet customer flow.

Yes. Using data such as reservations, covers, POS transactions, on-demand orders, local and national events, our AI first builds the venue’s demand curve, a 15–30-minute view of guest/transaction demand. We then translate that into a labour demand curve that shows how staffing needs rise and fall.

Absolutely. In private healthcare, curves reflect patient flow, appointment patterns, and bed occupancy. In warehousing, they reflect inbound and outbound volumes, helping leaders match labour to throughput.

The demand curve is continuously enriched with external variables such as bank holidays, weather, sporting events, and local activity, so it adapts to expected and unexpected changes in demand.

Yes. We integrate with HR, EPOS, ERP, and workforce management platforms via APIs, so the demand curve becomes a single source of truth across your tech stack.

Yes. You can choose from three optimisation modes: profit-first, customer service-first, or historic operating average. Each mode shapes the demand curve differently so you can prioritise margins, service, or balance.

Because our labour demand curves are powered by the same forecasting engine that delivers up to 99.7% accuracy in sales predictions, they significantly outperform manual or static approaches. Accuracy improves continuously as new data is fed in.

Yes. Operational rules, compliance requirements, task requirements and service standards are embedded into the curve, ensuring that forecasts reflect how your business must operate.

No. Integration is straightforward, the labour demand curves are delivered into your existing planning or WFM systems, so adoption is low-disruption.

At a minimum, the model needs historical headcount and historical sales data to understand how staffing levels relate to demand. Accuracy improves further when we include promotion and external event data, historic footfall trends, weather patterns, and your organisation’s operational rules, such as staffing policies, shift limits, or compliance constraints. Together, these inputs allow the AI to forecast labour needs precisely for every hour, site, and trading condition.

Yes. The system produces the demand curve, but managers still have the final say.

Yes. SolvedBy.Ai is certified to ISO 42001:2023, ISO 27001:2022 and Cyber Essentials Plus. Fewer than 50 organisations globally have achieved ISO 42001:2023, placing us among the leaders in safe, transparent, and responsible AI.

TL;DR

SolvedBy.Ai’s AI Labour Demand Forecasting turns your historical data and demand predictions into a labour demand curve, showing how staffing needs rise and fall. The curve can be shaped to your priorities - profit-first, customer service-first, or historic operating average, so you spend only on the hours that matter most. Customers achieve up to £5.5m or 2.5% in annual revenue uplift, and 61+ hours of overtime saved per site per week.

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