Home / Projects / Error Reductions Give Better Cash Flow Predictions

Error Reductions Give Better Cash Flow Predictions

Get in Touch

FJ Church - Catalytic Converters bagged in a warehouse


Founded in 1887, FJ Church & Sons is an international business dealing in scrap trading who specialise in Non-Ferrous Catalytic Converters and Weee materials. Working out of their head office in Rainham, Essex, they were one of the first British scrap merchants to trade internationally.

Recycling catalytic converters for precious metals and materials is an important process at FJ Church. However, the previous mapping method used to predict the amount of metal in each converter used a rule of thumb and therefore was not hugely accurate.


Regression analysis was performed by Objective for FJ Church to help reduce the error in the process of removing precious metals from catalytics converters. This resulted in a model being build by the team, improving the accuracy of predicting the content of each converter. This has moved the team from rules of thumbs to an intelligent, data driven solution.

FJ Church & Sons Ltd Logo

Business Benefits

  • The new model resulted in a 22% reduction in the mean average error, meaning the team could get a better prediction of the precious metals available when recycling each catalytic converter.
  • This has led to FJ Church gaining a better understanding of future cash flows.

Products and Technologies Used

R, Python