Coding Archives - Page 2 of 44

Day 8 – Comparing Actual Sales vs Predicted Forecast in Laravel Dashboard #SalesForecastAI #ForecastAccuracy #LaravelDashboard #SalesAnalytics #AIInsights

Today we’ll build a dashboard that visually compares actual sales vs forecasted predictions, and highlight any significant deviations — helping you track accuracy and adjust strategy. 📊 Step 1: Join…

Coding

Day 7 – Highlighting Trends and Anomalies in Sales Forecasts #SalesForecastAI #ForecastAnomalies #LaravelAIInsights #SalesTrends #GPTChartAnnotations

Now that we’re storing forecast data, let’s make it smarter by identifying sales trends and anomalies like unusual spikes or dips — and annotate charts using GPT-generated insights. 🧠 Step…

Coding

Day 6 – Saving and Displaying Forecast Results in Laravel #SalesForecastAI #LaravelForecastView #PredictionDisplay #AIInsights #TimeSeriesLaravel

Now that our Python script generates predictions, we’ll save the forecasted values into a database table and display them alongside historical data in Laravel. 🧩 Step 1: Create a forecast_results…

Coding

Day 5 – Running Python Forecasts from Laravel via Artisan #SalesForecastAI #LaravelPythonBridge #ArtisanPython #ForecastAutomation #AIBackend

Today we’ll connect Laravel with the Python forecasting script, allowing you to run sales predictions directly via a button click or Artisan command. ⚙️ Step 1: Store Python script inside…

Coding

Day 4 – Building a Python Forecasting Script for Sales Prediction #SalesForecastAI #LaravelPython #ProphetForecast #SalesPrediction #TimeSeriesAI

Now that we have clean CSV data, we’ll build a Python script to forecast future sales using Facebook Prophet, a powerful tool for time-series prediction. 🐍 Step 1: Install Python…

Coding

Day 3 – Exporting Sales Data to CSV for Forecasting #SalesForecastAI #DataPreparation #LaravelExport #ForecastInput #TimeSeriesCSV

To perform AI-based forecasting, we need clean, structured time-series data. Today we’ll export our grouped sales totals to CSV format — usable for training external ML models or feeding back…

Coding

Day 2 – Visualizing Sales Trends with Charts in Laravel #SalesForecastAI #LaravelCharts #SalesTrend #PredictiveAnalytics

Now that we have sample sales data, let’s visualize it to spot trends over time. We’ll use Chart.js with Laravel to draw a daily sales line chart, setting the stage…

Coding

Day 1 – Setting Up the Predictive Sales Forecasting System#SalesForecastAI #LaravelML #PredictiveAnalytics #SalesPrediction

In this tutorial series, we’ll build a Predictive Sales Forecasting System using Laravel and AI. The goal is to forecast sales trends using real data and visualize predictions with confidence…

Coding

Day 10 – Logging GPT Usage & Finalizing Your AI-Powered Audit Tool#LaravelGPTAudit #AuditSecurity #GPTLogging #ProductionReadyAI #LaravelCompliance

Today, we wrap up the LaravelGPTAudit series by logging GPT usage, securing access, and preparing your audit tools for production deployment. You’ll ensure full traceability, prevent abuse, and make your…

Coding

Day 9 – GPT-Based Smart Filters for Audit Logs#LaravelGPTAudit #SmartFilter #NaturalQuerySearch #GPTAuditTools #LaravelAI

Today we’ll let admins use natural phrases like: “customer updates over RM500 last month” “deletions by admin this week” “changes to records yesterday” GPT will turn those into real-time Laravel…