CASE STUDIES
We solve tactical and strategic problems
Case study ———— Selected projects
Assuring data privacy in care home analytics
Carterwood
Managing uncertainty to forecast supply and demand
National Grid ESO
Modernising Optimisation Algorithms for the Control Room
National Grid ESO
Modelling the Degradation of Earthworks
Network Rail
Predicting the weather’s impact on demand
Coca-Cola Europacific Partners
Evaluating railway performance
Resonate
From TV Channels to Mobile Wireless
Federal Communications Commission
Forecasting UK peak gas demand
National Grid
Adaptive bidding strategies
Vodafone
Optimising lettuce growth
G’s Growers
Predicting the energy output from embedded generation
National Grid
Verifying algorithms
Ofcom
Using machine learning to predict catering demand
Each year, airline and rail companies serve millions of cups of tea, biscuits and sandwiches to passengers. Transport executives know that getting customers their choice of food and beverages at the right time along the journey increases customer satisfaction and reduces the risk of staff abuse. We used machine learning to develop a demand forecasting tool to enable more efficient and effective stock ordering, increasing profitability and reducing waste.
Read case study1965 2020
For companies, governments and organisations, the Smith Institute has the mathematical expertise to deliver a bespoke, business-led approach to simplify current challenges. We specialise in providing clarity for decision-makers by offering insight driven by the latest mathematical techniques.