Chart a course for extra insight

CASE STUDY Chart a course for extra insight Demand Forecasting at Scale

Looking back is the most effective way of getting left behind, so organizations that want to make a real difference use the information they have to hand to prepare for the road ahead. With access to more data than ever before, the key to using it wisely is being flexible enough to not only understand what it’s telling you now, but what it can tell you about what’s coming in the future. That’s why being equipped with the right forecasting tools can be the difference between you and your competitors. The big picture

Tetra Pak, a world leading food processing and packaging solutions company, was looking for higher category forecasting accuracy, with a solution that would provide insights across multiple categories across E-Commerce markets, over a period of five years. With E-Commerce channels promising to deliver high growth in line with their sustainability ambitions, they wanted to know more about how this could evolve alongside other developments in the Fast-moving Consumer packaged goods (CPG) industry. The challenge Fractal’s knowledge of developing bespoke solutions through our integrated cross-market AI-based suite of algorithms meant we were ideally placed to work and help them understand the stories their data could tell them.

A transformative solution

Putting data on the map

We started by running discovery sessions to look to understand the client requirements. This helped us to build our knowledge of the business and the challenges they faced. The pre-processing work we do, including sanity checks and data harmonisation, gives our partners extra confidence in the inputs than they may have been used to with simple or manual forecasting.

A transformative solution What we provided - clear directions

Fractal’s Foresient, a state-of-the art platform on AWS enabled high accuracy forecasting at speed and scale. By combining historical reporting and other associated data with the Foresient engine we were able to generate business- relevant forecasts.

A transformative solution How did we do it?

Amazon Web Services EC2 provided scalable compute capacity for hosting the front end, back end, and APIs of the application. EMR based on Spark was used to process and analyze huge volumes of data. Amazon Relational Database Service provided a cost-effective database, and S3 stored information in the form of forecasts and models.

Optimised solutions via end to end forecasting operations, helping organizations to better navigate their markets.

The results Foresient generated forecasts across multiple categories across E-Commerce markets, over a period of five years. The immediate impact

Forecasting accuracy ranged between 80% to 95%

Enable better decisions with Fractal Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal’s mission is to power every human decision in the enterprise and bring AI, engineering, and design to help the world’s most admired Fortune 500 ® companies. Fractal product companies include Qure.ai, Crux Intelligence, Theremin.ai, Eugenie.ai & Samya.ai. Fractal has more than 2,300 employees across 16 global locations, including United States, UK, Ukraine, India, and Australia. Fractal has consistently been rated as India’s best company to work for, by The Great Place to Work ® Institute, a ‘Leader’ by Forrester Research in its Wave™ on Specialized Insights Services, Computer Vision & Customer Analytics and as an “Honorable Vendor” in 2021 Magic Quadrant™ for data & analytics by Gartner.

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