Predictive Analytics Dashboard
93% forecast accuracy with machine learning-powered business intelligence
Forecast accuracy reached 93%
Reduced planning time by 52%
Improved inventory optimisation by 37%
Overview
Historical reporting tells you what happened. Predictive analytics tells you what's likely to happen next — and gives decision-makers enough lead time to act. We built a predictive analytics platform combining custom machine learning models with interactive business intelligence dashboards, enabling the client's leadership to make forward-looking decisions backed by data rather than instinct.
The Challenge
Decision-makers relied on historical reports that offered limited visibility into future business performance, making inventory, staffing, and budget planning reactive rather than proactive.
The Solution
Built predictive machine learning models and interactive dashboards to forecast sales, customer demand, inventory requirements, and operational trends with high accuracy.
How We Approached It
Data Audit
Assessed data quality, completeness, and history depth across the client's systems before selecting modelling approaches.
Feature Engineering
Designed features incorporating seasonality, promotional effects, and external signals to improve model accuracy.
Model Development
Built and evaluated multiple forecasting models — LSTM, gradient boosting, and ARIMA — selecting the best performer per use case.
Dashboard Delivery
Built interactive Vue.js dashboards allowing stakeholders to explore forecasts, compare scenarios, and drill into underlying data.
Key Features Built
Results & Impact
Forecast accuracy reached 93%
Reduced planning time by 52%
Improved inventory optimisation by 37%
Technologies
Related Case Studies
Ready to get started?
Tell me what you're building and I'll give you my honest assessment of the best approach.