Smart Wholesale Order Forecasting System

Use historical data to predict future order volumes.

Forecast Awaiting Data

Input your sales history in the 'Historical Data' tab and run a forecast to see your results here.

Historical Sales Data

Period (e.g., Month)	Sales Volume ($)

Forecast Settings

Periods to Forecast

Sales Forecast Report

Based on historical data analysis

Forecasted Sales Data

Methodology: This forecast was generated using a simple linear regression model based on the provided historical sales data. It represents a mathematical trend and should be used as one of several tools for business planning. Market conditions and other external factors may affect actual results.

Est. Growth

${growth.toFixed(1)}%

`; // 2. Populate table data let tableHtml = ` ${lastResult.forecast.map(item => ` `).join('')}

Period	Forecasted Sales ($)
${item.period}	$${item.sales.toLocaleString()}

`; document.getElementById('pdf-table-container').innerHTML = tableHtml; try { const pdf = new jsPDF({ orientation: 'portrait', unit: 'pt', format: 'a4' }); const pdfWidth = pdf.internal.pageSize.getWidth(); const margin = 40; const chartImage = forecastChart.toBase64Image('image/png', 1.0); const contentCanvas = await html2canvas(document.getElementById('pdf-content'), { scale: 2 }); const contentImgData = contentCanvas.toDataURL('image/png'); const contentImgProps = pdf.getImageProperties(contentImgData); const contentPdfHeight = (contentImgProps.height * (pdfWidth - margin*2)) / contentImgProps.width; pdf.addImage(contentImgData, 'PNG', margin, margin, pdfWidth - margin*2, contentPdfHeight); const chartImgProps = pdf.getImageProperties(chartImage); const chartPdfHeight = (chartImgProps.height * (pdfWidth - margin*2)) / chartImgProps.width; const yPos = margin + contentPdfHeight + 20; pdf.addPage(); pdf.text("Forecast Visualization", margin, margin); pdf.addImage(chartImage, 'PNG', margin, margin + 20, pdfWidth - margin * 2, chartPdfHeight); pdf.save('Wholesale_Order_Forecast.pdf'); } catch (e) { console.error("PDF generation failed:", e); alert("An error occurred generating the PDF."); } } // --- Event Listeners --- tabs.forEach((tab, index) => tab.btn.addEventListener('click', () => switchTab(index))); prevBtn.addEventListener('click', () => switchTab(currentTab - 1)); nextBtn.addEventListener('click', () => switchTab(currentTab + 1)); addRowBtn.addEventListener('click', () => { const lastPeriod = historicalData.length > 0 ? historicalData[historicalData.length - 1].period : 0; historicalData.push({ period: lastPeriod + 1, sales: 0 }); renderDataTable(); }); dataTableBody.addEventListener('change', (e) => { if(e.target.classList.contains('table-input')) { const index = parseInt(e.target.closest('tr').dataset.index); const field = e.target.dataset.field; historicalData[index][field] = parseInt(e.target.value); } }); dataTableBody.addEventListener('click', (e) => { const deleteBtn = e.target.closest('.delete-row-btn'); if (deleteBtn) { const index = parseInt(deleteBtn.closest('tr').dataset.index); historicalData.splice(index, 1); renderDataTable(); } }); generateForecastBtn.addEventListener('click', handleGenerateForecast); downloadPdfBtn.addEventListener('click', handlePdfDownload); // --- Initialization --- historicalData = JSON.parse(JSON.stringify(sampleData)); renderDataTable(); switchTab(0); updateNavButtons(); lucide.createIcons(); });