Enterprise AI Solutions

Forecast the Future. Optimise the Outcome.
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What we do

We help businesses eliminate operational uncertainty by translating advanced AI forecasting into accurate daily decision-making.

We develop and deploy AI forecasting models that help organisations plan operations with the greates accuracy possible. Our approach is technology-agnostic, allowing us to quickly integrate with your existing systems and choose the best methods for each client’s context rather than forcing a single toolset.

We combine internal business data with deep exogenous intelligence, and apply the world’s largest library of AI forecasting algorithms to produce reliable, use-case-specific forecasts.
Trusted by leading organisations

Why we are different

The world’s largest library of forecasting algorithms

Technology agnostic AI layer that works with your systems

The world's most granular, most informed forecasts

Continuous model benchmarking and refinement

Deeper exogenous intelligence ingested into every algorithm

Probabilistic and multivariate demand modelling

Commercially accountable - always looking to deliver a minimum of 10:1 ROI

Fair, explainable and secure AI

Case Studies

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Our solutions

Predicts demand at the level decisions are actually made, enabling earlier, more accurate planning across operations, workforce, and capacity.

Translates demand forecasts into required labour by role, skill, location, and time, reducing overstaffing, understaffing, and reactive resourcing.

Builds compliant, operationally realistic schedules that align labour supply with forecast demand and workload rather than fixed rotas.

Determines when sites, services, or channels should open and close to maximise service outcomes while controlling labour and operating costs.

Forecasts visitor volumes, arrival patterns, and dwell time to support capacity planning, staffing, safety, and commercial decisions.

Aligns inventory levels to probabilistic demand, reducing waste, stockouts, and working capital without sacrificing availability.

Anticipates asset failure and maintenance demand before disruption occurs, enabling planned intervention instead of reactive downtime.

Optimises how limited resources are deployed across sites, activities, and priorities as demand and conditions change.

Identifies price actions that balance demand, margin, and capacity constraints, rather than optimising price in isolation.

Continuously forecasts cost and revenue under different demand scenarios, improving financial control and reducing planning volatility.

Generates demand-led shifts that reflect real workload patterns, contracts, and constraints rather than historic templates.

Predicts task demand and schedules work when it can realistically be completed, improving execution without increasing headcount.

Industries we work with

Retail

Enabling retailers to anticipate demand, align labour and inventory, and protect margin in the face of constant volatility.
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CPG

Helping consumer goods manufacturers and brands forecast demand accurately, optimise production and distribution, and reduce waste across complex supply chains.
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Supermarkets

Supporting supermarkets to balance availability, labour, and cost by planning stores and supply against real customer demand rather than averages.
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Hospitality

Allowing hospitality operators to plan staffing, pricing, and production around actual trading patterns while maintaining service and controlling cost.
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Leisure

Enabling leisure operators to forecast attendance, deploy staff efficiently, and protect customer experience across highly variable demand.
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Manufacturing

Helping manufacturers align production, maintenance, and workforce planning with true demand and capacity constraints.
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Private Healthcare

Supporting healthcare providers to plan capacity, staffing, and resources proactively while maintaining clinical quality and financial control.
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Contact Centres

Enabling contact centres to forecast demand by channel and interval, align staffing precisely, and meet service targets without excess cost.
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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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TL;DR for AI Forecasting

TL;DR

SolvedBy.Ai delivers enterprise AI forecasting that turns complex data into reliable, day-to-day operational decisions.

By combining the world’s largest library of forecasting algorithms with deep external intelligence and a technology-agnostic AI layer, we help organisations reduce uncertainty, plan with confidence, and consistently achieve a minimum 10:1 return on investment across workforce, inventory, capacity, pricing, and resource allocation
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FAQ

SolvedBy.Ai helps organisations predict demand, workload, and resource needs with greater accuracy and translate those forecasts directly into operational decisions. We focus on eliminating uncertainty across planning, scheduling, inventory, capacity, and financial forecasting.

Traditional tools rely on historic averages, static models, or single-method approaches. SolvedBy.Ai uses probabilistic, multivariate forecasting powered by the world’s largest library of AI algorithms and continuously incorporates external intelligence to reflect real-world variability.

SolvedBy.Ai is an enterprise AI partner. We design, deploy, and operationalise forecasting models tailored to your business, integrating them into your existing systems and decision processes rather than selling an off-the-shelf tool.

We are most effective where demand is volatile, decisions are interdependent, and errors are costly — including workforce planning, inventory optimisation, opening hours, capacity planning, pricing, and operational budgeting.

It means we do not force your business into a single platform, model, or vendor stack. We integrate with your existing systems and select the most appropriate algorithms, tools, and techniques for each specific use case.

We combine internal operational, transactional, and historical data with relevant external sources such as weather, events, economic indicators, mobility data, and other exogenous signals that materially influence demand.

Accuracy comes from three things: algorithm diversity, deep external intelligence, and probabilistic modelling. Rather than relying on one “best” model, we test and deploy the most effective models for each scenario and continuously refine them as conditions change.

Instead of producing a single number, probabilistic forecasting models a range of likely outcomes and their probabilities. This allows leaders to plan for uncertainty rather than being surprised by it.

Yes. Forecasts can be refreshed as new data arrives, allowing plans and decisions to adapt dynamically rather than remaining fixed to outdated assumptions.

Our solutions form a connected decision framework: forecasting demand feeds labour planning, which informs scheduling, opening hours, inventory, pricing, budgeting, and task execution. Each solution reinforces the others.

Yes. Many organisations begin with a single high-impact use case and expand as confidence and value are proven.

Yes. SolvedBy.Ai is designed for organisations operating across multiple locations, channels, roles, and time horizons, where decisions must be coordinated rather than made in isolation.

Operations, workforce planning, finance, supply chain, and leadership teams all use SolvedBy.Ai outputs, with forecasts aligned across functions to avoid conflicting assumptions.

ROI is measured through tangible outcomes such as labour cost reduction, waste reduction, improved service levels, increased availability, reduced downtime, or improved margin — depending on the use case.

It means for every £1 invested, the solution is expected to deliver at least £10 in measurable value. If that level of return cannot be demonstrated, we will not recommend proceeding.

We run a paid proof of concept using your real data to test forecast accuracy, operational impact, and financial outcomes before scaling.

The proof of concept involves real modelling, data integration, and analysis. Charging for it ensures commercial discipline and allows both parties to validate value with rigour.

Initial value is typically demonstrated during the proof of concept. Full operational impact depends on scope and complexity but is designed to deliver results within months, not years.

No. SolvedBy.Ai handles the complexity of modelling, validation, and optimisation so your teams can focus on decision-making rather than data science.

We integrate with ERP, WFM, scheduling, inventory, finance, and other operational systems through secure data pipelines and APIs, without requiring wholesale system replacement.

Both. Some organisations use SolvedBy.Ai as decision support, others automate downstream actions such as scheduling or replenishment, with appropriate controls.

Every forecast is transparent and contextualised. Users can understand what factors are driving predictions and how different variables influence outcomes.

We actively monitor for bias and ensure models are designed and governed responsibly, with fairness and explainability built into the development process.

All data is handled securely with enterprise-grade controls. Client data remains owned by the client and is used solely for agreed purposes.

Yes. Our approach is designed to comply with GDPR and emerging AI governance standards, ensuring responsible and auditable AI use.

We work across retail, CPG, supermarkets, hospitality, leisure, manufacturing, private healthcare, and contact centres — anywhere demand variability drives operational risk.

Yes. Our models are designed to support planning and resource decisions while respecting regulatory, clinical, and operational constraints.

Yes. Our focus is on balancing outcomes — reducing waste and inefficiency without compromising service, safety, or quality.

The first step is a conversation to understand your challenges, data, and decision environment, followed by a scoped proof of concept where appropriate.

If the expected ROI cannot be demonstrated, we will not recommend moving forward. Our model is built on accountability, not long-term lock-in.

Typically operations, finance, and IT stakeholders, ensuring forecasts align with both decision-making and system realities.
Scotia Bank House, 6 South
Charlotte Street, Edinburgh,
Scotland, EH2 4AW
AI Solutions
AI Demand Forecasting AI Labour Demand Forecasting AI Staff Scheduling AI Opening Hours Optimisation AI Footfall and Visitor Forecasting AI Inventory Optimisation AI Predictive Maintenance AI Resource Optimisation AI Price Optimisation AI Budget Forecasting AI Shift Create AI Task Scheduler
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Retail CPG Supermarkets Hospitality Leisure Manufacturing Private Healthcare Contact Centres
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