Case Study: Colive predicts inventory needs and revenue growth with Searce

Searce Helps Colive To Predict Inventory Requirements And Forecast Revenue Possibilities

The rental housing provider Colive needed to move beyond its manual, rule-based system for revenue and inventory calculations. To automate its prediction cycle and handle increasing customer data, Colive partnered with consultant Searce to implement an intelligent forecasting solution.

Searce developed an accurate machine learning model using Amazon Forecast on AWS. The solution automated the training pipeline, enabling monthly, fortnightly, or quarterly predictions for inventory and revenue. This provided Colive with a future-ready, scalable system that improved forecast accuracy and allowed for more complex predictions to support its business growth.

Colive