Many dashboards are useful for understanding what has already happened, but they do not always help teams anticipate what may happen next. For planning, resourcing, inventory, revenue management, and operational decision-making, forward-looking insight is often more valuable than static historical reporting.
This project focused on building a predictive analytics and forecasting dashboard. The work began by identifying which metrics were both commercially important and suitable for forecasting. These included measures such as sales volume, revenue, demand, enquiry volume, customer activity, operational workload, and conversion performance.
Historical data was cleaned and prepared to reduce reporting inconsistencies. Forecasting models were then developed to project future values over relevant time horizons. The dashboard presented these forecasts alongside historical trends, confidence ranges, and variance indicators so stakeholders could understand both the prediction and the uncertainty around it.
The user experience was designed for practical decision-making. Different views were created for executive reporting, operational planning, sales performance, and trend analysis. Alerts and variance indicators helped users identify when actual performance was moving outside expected ranges.
The final dashboard reduced reliance on manual spreadsheet reporting and gave teams a stronger basis for planning. By combining historical context with predictive insight, it helped shift reporting conversations from “what happened?” to “what should we prepare for next?”