AI Opening Hours Optimisation

Trade only when it pays
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AI Opening Hours Optimisation
AI Opening Hours Optimisation
Our AI Opening Hours Optimisation delivers a new era of setting your trading hours, pinpointing the precise times each of your sites should open and close, resulting in lower costs and capturing missed revenue.

What is AI Opening Hours Optimisation? 

AI Opening Hours Optimisation uses artificial intelligence to predict the most profitable opening and closing times for each site. It analyses historical performance, footfall, transactions, local events, and competitor activity to reveal when stores are earning, and when they’re losing money.

It supports both shorter and longer trading windows, balancing cost and opportunity with true dynamic opening hours, adapting as customer demand and local conditions change.

Delivering real impact

£ M+

Extra gross profit achieved per year

%+

Annual ROI uplift achieved through smarter trading-hour decisions

:1

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

How it can help your business

Cut costs from unprofitable hours

Stop paying to stay open when it doesn’t pay off. The model identifies early openings and late closures that deliver no return, so every site operates only when it’s worth being open.

Increase revenue and profitability

Find hidden revenue by identifying profitable trading opportunities, early openings, late extensions, or event-driven peaks to capture sales that competitors miss.

Seasonal demand, automatically adjusted

Customer demand changes throughout the year, and your opening hours should, too. The model highlights seasonal patterns and event-driven peaks, recommending longer trading hours in high-demand periods like summer or during major sporting events, and shorter hours in quieter months.

Compliance by design

Opening-hour changes always respect your business rules, staffing levels, duty of care, safety, and local legislation.

Adapted to every site

Each location runs its own optimisation model, reflecting unique patterns, constraints, and local demand.

Stronger control over trading strategy

Leaders can test, adjust, and optimise hours dynamically across hundreds of sites, turning opening hours decisions into measurable financial outcomes.

How it works

Powered by demand and business rules

The solution merges demand forecasts with your business rules to calculate profitable operating windows.

Dynamic profitability analysis

AI measures the financial impact of every possible trading window, identifying when operating costs outweigh potential sales, and when extending hours adds value.

Clustered modelling for precision

Sites are grouped by patterns such as footfall, location type, performance and competitive environment, allowing the model to optimise hours for each site’s true trading potential.

External signals built in

Weather, local events, holidays, and competitor opening times are layered in to ensure recommendations reflect real-world conditions.

Flexible constraint sets

Every business operates differently. Models respect your staffing rules, operational rules, safety standards, and duty-of-care requirements while finding the best financial outcomes.

Continuous learning

Recommendations evolve as customer patterns and market conditions change, keeping operations aligned to current behaviour.
Trusted by leading organisations

Unmatched precision in five simple steps

1

Gather

We structure your historical opening hours alongside sales, footfall, and visitor data to build a complete picture of site performance.

Enrich

External signals such as footfall forecasts, events, competitor opening hours, holidays, and promotional activity are layered in to capture every factor that influences trading demand.
2

Optimise

The AI runs probabilistic forecasts to test thousands of possible trading windows, analysing how previous adjustments to opening hours affected revenue per hour before recommending the most profitable configuration.
3

Deliver

Recommendations are produced in intervals that match your planning cycles and shared via dashboards or integrations for rapid review and approval.
4

Improve

Actual results feed back into the model, allowing it to learn continuously so each recommendation becomes sharper and more profitable over time.
5

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 runs thousands of simulations using probabilistic forecasting. It evaluates the financial impact of every possible opening-hour configuration, considering operational costs, historical patterns, and past hour-by-hour performance. It then recommends the trading windows that maximise profit within your operational and compliance rules.

Because opening hours directly affect profitability. Being open when demand is low wastes labour, energy, and resources; closing too early can lose sales. AI gives enterprises a consistent, data-driven framework for balancing those trade-offs across hundreds of sites.

Historical opening times, sales and transaction data, footfall and visitor counts, plus contextual data such as weather, holidays, events, and competitor trading hours. All analysis is performed within your defined business rules and legal obligations.

Yes. The system identifies unprofitable trading periods that can be shortened, as well as high-demand windows where extending hours would deliver additional revenue.

In large multi-site enterprises, AI Opening Hours Optimisation has delivered £2m+ in annual gross profit uplift, equivalent to an average 4.2% improvement, by aligning trading hours precisely to customer demand rather than fixed assumptions.

In an estate of 1,000 sites, this equates to approximately £2,000 per site per year in additional gross profit. Actual outcomes vary based on trading intensity, labour costs, and demand volatility, but the aggregate uplift has been consistently demonstrated at enterprise scale.

Typically within the first full planning cycle after implementation. Recommendations can be reviewed and approved immediately, and measurable financial impact is seen once new hours are in effect.

SolvedBy.Ai works on a 10 : 1 ROI model — for every £1 invested, customers achieve at least £10 in measurable value through reduced costs and improved profit per trading hour.

By highlighting hours where operating costs exceed potential sales, enabling data-driven closures that cut energy, labour, and overhead expenses without harming service or compliance. It reveals opportunities to open earlier or adjust hours during high-demand periods, capturing revenue that traditional scheduling or static hours would miss.

Yes. Every recommendation is generated within the boundaries of your operational and legal frameworks, including staffing minimums, safety standards, and duty-of-care requirements.

Each site is modelled individually. Performance patterns, footfall profiles, and local market factors vary, so the AI builds site-specific models that learn and adjust over time.

Yes. Sites with comparable characteristics are grouped through cluster modelling. This allows the system to share learning efficiently while maintaining local precision.

Constantly. Actual trading results feed back into the model, refining predictions and recommendations as customer behaviour and external conditions evolve.

Through dashboards, reports, and API integrations directly into your existing planning or analytics platforms, giving decision-makers clear visibility to make informed decisions.

Yes. SolvedBy.Ai operates under ISO 42001 : 2023 (AI management) and ISO 27001 : 2022 (information security) certifications. All models adhere to GDPR and relevant trading-hour regulations.

Every output is accompanied by a rationale explaining the key drivers behind the recommendation, allowing leaders to see exactly why a change is proposed.

Yes. Human review and approval are integral. AI provides the evidence; leaders make the final decision.

By applying the same optimisation framework and governance standards everywhere, ensuring decisions are data-driven and free from bias or subjective interpretation.

Labour Demand Forecasting predicts staffing needs based on expected demand; Opening Hours Optimisation determines when the business should actually trade. If both models are used within a business, the labour demand model will take into consideration the trading hours when building the labour demand curve. 

Traditional methods rely on historical data and manual judgment. SolvedBy.Ai combines historical data with hundreds of different external data points to deliver precise, evidence-based recommendations that adapt over time and take into account the current trading environment.

TL;DR

SolvedBy.Ai’s AI Opening Hours Optimisation gives enterprises precise control over when each site should open and close. Using advanced modelling and site-level intelligence, it identifies where changes to trading hours will deliver the greatest financial return. The result is a scalable, compliant, and profit-driven framework for smarter operating hours optimisation across the entire estate.
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