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AI demand forecasting uses advanced machine learning models to predict future demand for products or services with far greater accuracy than traditional methods. Traditional methods rely on static formulas and don’t adjust to changing conditions. The AI continuously learns from your data and adapts to new signals, from seasonality to promotions and market shifts.
We offer three months POC during which we work with you to prove the savings we can deliver and then we move to BAU. Our solutions are quick to implement and integrate into your existing tech stack.
At SolvedBy.Ai we benchmark against a simple principle: a minimum of 10:1 return on investment. That means for every £1 you invest, you should see £10 back in measurable value through higher margins, reduced waste, and more efficient use of resources.
With SolvedBy.Ai, ROI is visible within the first proof-of-concept stage, typically three months. Accuracy gains surface quickly, and by the end of that stage you’ll see measurable improvements in efficiency and planning confidence that translate directly into financial impact.
No. ROI is how we measure success through every project we do. It’s tracked directly through the metrics you already monitor, revenue uplift, margin improvement, reduced write-offs, lower operating costs and more. We start every engagement with clear success measures, targeting a minimum of 10:1 ROI.
The biggest challenge is often a lack of quality, consistent data. AI learns from data, if it’s incomplete or scattered across systems, accuracy suffers. Other hurdles include organisational silos and resistance to change. At SolvedBy.Ai, we address this by unifying and enriching your data quickly and guiding teams through adoption so value is realised fast.
SolvedBy.Ai is designed to integrate with your ERP, planning, and analytics systems without heavy engineering. Our models plug into the systems you already use through powerful API’s, so teams get immediate value without disrupting workflows.
Our models are continuously updated with new data and monitored by our team against accuracy benchmarks. We provide explainability dashboards and reports so you always know how the forecast is performing and what’s driving changes.
Data security and regulatory compliance are built into how SolvedBy.Ai operates.
All client data is handled in line with GDPR and applicable regional regulations, with enterprise-grade encryption, strict access controls, and full auditability. Clients retain full ownership of their data at all times.
SolvedBy.Ai holds ISO 27001 certification for information security management and Cyber Essentials Plus, providing independent assurance that systems, access, and controls meet rigorous security standards.
We are also among the first 50 organisations globally to achieve ISO 42001 certification, the international standard for responsible AI management. This ensures our AI models are governed, transparent, monitored, and deployed in a controlled and accountable way.
Together, these standards provide assurance that demand forecasting outputs are secure, compliant, explainable, and suitable for use in operational and executive decision-making.
Yes. In addition to delivering numbers, our solution highlights which variables influenced each prediction, so you understand the drivers behind your forecast and can communicate them internally.
Models are evaluated each time the forecast runs, selecting from over 100 algorithms to ensure each prediction remains accurate. This continuous evaluation means your forecasts improve as new data becomes available.
Deterministic forecasting provides a single “best estimate” of the future, such as predicting exactly 100 units of sales next month, while probabilistic forecasting accounts for uncertainty by offering a range of possible outcomes with associated probabilities, like saying there’s a 70% chance sales will fall between 90 and 110 units; in short, deterministic models give one fixed scenario, whereas probabilistic models capture variability and help decision-makers better understand risks and plan for multiple possibilities.
Multivariate forecasting is a method that predicts future outcomes by analyzing multiple related variables together instead of relying on a single factor; at SolvedBy.Ai, this means going beyond historical trends to include external factors such as market conditions, seasonality, promotions, and even macroeconomic indicators, allowing businesses to generate more accurate, dynamic forecasts that reflect real-world influences and provide stronger decision-making insights.
A Proof of Concept is a short, structured engagement used to test whether AI demand forecasting will materially improve decisions in your business.
It uses your real data, your operating constraints, and your actual planning questions.
The objective is not to demonstrate AI capability, but to produce evidence that the forecasts are accurate, stable, and that we can deliver a minimum of 10:1 ROI.
The PoC tests three things:
Forecast accuracy at the level you operate (site, product, service, day, hour)
Model behaviour under real-world volatility such as promotions, seasonality, weather, and events
Whether the outputs support better planning and what savings can be achieved
Most Proofs of Concept approx 3 months, depending on data availability and complexity.
This is sufficient to build, validate, and stress-test models across multiple demand scenarios without delaying delivery decisions.
