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Reach new heights of success

Use Predictive Analytics to Improve demand forecasting accuracy by up to 20%, leading to a 10% increase in profits.

Machine learning is revolutionising demand forecasting, empowering businesses to gain a deeper understanding of customer needs, anticipate market trends, and make smarter decisions that drive growth.

By leveraging advanced algorithms and vast datasets, predictive ML models can provide more accurate and insightful forecasts by


integrating diverse
data sources


analysing data
in real-time


complex patterns


different scenarios

Furthermore, the inclusion of external data in predictive ML models expands the forecasting scope, enabling businesses to tap into real-time trends and market dynamics that can significantly impact demand.
This empowers businesses to proactively adapt to changing conditions and stay one step ahead of the competition.

ML driven demand forecasting

Our data-driven solution empowers marketers to unlock actionable insights from their data, optimise marketing strategies, and drive revenue growth.

We seamlessly integrate your data with external information, leveraging advanced analytics and machine learning techniques to build predictive models that identify untapped sales opportunities. Our actionable insights, delivered however you need them, empower you to make real-time data-driven decisions that resonate with your customers and drive business growth.

Demand Model

By combining the insights from our dynamic consumer-behaviour model with our clients’ data, we predict how consumer behaviour will shape the demand for our clients’ goods and services over the upcoming 12 months.

Behaviour Engine

Our flagship product is our dynamic Consumer-Behaviour Context Engine, a cutting-edge solution which predicts the influence of the UK economy on consumer sales. Our predictive AI algorithms analyse diverse datasets decoding hidden patterns and relationships, to provide a comprehensive insight of the consumer landscape.

External Data Sets

Our platform systematically collects a diverse array of external data sources (see full list), meticulously categorising and organising them. This process gives us an extensive and rich set of data to model with.

1st Party Data Sets

Clients’ first-party data is securely uploaded into our consumer behaviour context engine, hosted in Google Cloud. We enhance our external knowledge of consumer behaviour with valuable insights from our clients’ customer preferences, past purchases, browsing behaviour, and engagement patterns. Allowing us to have a 360 view of consumer behaviour tailored to each client.

Anticipating customer demand

In today’s ever-changing world, accurately forecasting demand is more critical than ever.

But traditional methods fall behind, leading to stockouts, overstocking, inefficient allocation, and ineffective marketing.


But imagine if you could anticipate customer demand with pinpoint accuracy.

If you could always have the right products in the right place at the right time, and develop personalised and effective marketing strategies.

This is the future of demand forecasting, and it’s within your reach with Predictable. We harness the power of machine learning, and external data, to create predictive models that reveal intricate patterns, and provide real-time market insights far beyond conventional methods.

Predictive machine learning provides more accurate forecasts, empowering businesses to thrive in a constantly shifting market landscape.

It’s proactive!, adaptive!, and precise!.


increase sales
and profitability


reduce costs
and waste


customer satisfaction


gain a
competitive edge

Want to read more on Demand Forecasting?

Hear from Predyktable’s Co-Founders in these insightful blogs:

Demand forecasting should be more than just a numbers game.

It should be a tool for inspiration and innovation. So join us on a journey to the future of demand forecasting.

It’s your future, let’s make it Predyktable!