Title: 📈 Sales Forecasting & Demand Planning Dashboard Description: Built a professional Sales F...

Title: 📈 Sales Forecasting & Demand Planning Dashboard Description: Built a professional Sales F...Title: 📈 Sales Forecasting & Demand Planning Dashboard Description: Built a professional Sales F...

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Srujana Reddy

• 1d

Title: 📈 Sales Forecasting & Demand Planning Dashboard

Description:

Built a professional Sales Forecasting & Demand Planning Dashboard to help businesses forecast future sales, predict customer demand, and optimize inventory planning with data-driven insights.

This dashboard provides a complete overview of Sales Forecasts, Demand Predictions, Monthly Sales Trends, Seasonal Demand Patterns, Inventory Planning, and Forecast Accuracy, enabling businesses to improve planning, reduce stock shortages, and maximize profitability.

Designed with interactive KPI cards, dynamic charts, trend analysis, and executive-level visualizations using Microsoft Excel, SQL, and Power BI for faster and smarter business decision-making.

Key Features:

📈 Sales Forecast & Revenue Prediction

🎯 Demand Prediction & Seasonal Analysis

📦 Inventory Planning & Stock Optimization

📊 Monthly Sales Trend Analysis

✅ Forecast Accuracy Tracking

💼 Executive KPI Dashboard

Client Note:

Looking for a customized Business Intelligence dashboard for your organization? I can build professional, interactive dashboards tailored to your business requirements with clear KPIs, automated reporting, and actionable insights to support better decision-making. Feel free to reach out to discuss your project.

Microsoft Excel SQL Microsoft Power BI Business Analysis

Pranto Chakraborty Mithun

• Jul 18

If you had to use the same dashboard every day... 👀

🅰️Dark Mode

🅱️ Light Mode

What's your pick? 👇

7 voted

47%

8 voted

53%

15 votes

Closed

Tehreem Fatima

• Jul 19

For everyday use light is just too Much to handle

Hazem Khaled

• Jul 18

Excited to share my latest data analytics project: Traffic Congestion Analysis & Prediction. 🚗📊

This end-to-end project involved processing complex traffic data to derive actionable insights, including:

Visualizing traffic hotspots and congestion trends across Cairo.

Analyzing accident risk factors related to road types, hours, and underage drivers.

Building an interactive dashboard to support data-driven urban planning.

Tools used: Power BI, DAX, and advanced data visualization techniques.

Check out the snapshots below and let me know your thoughts! Always happy to discuss data-driven solutions. 💡

Access the full project and source code here: [https://github.com/Hazemkhaled278/Traffic-Congestion-Analysis-Prediction- ]

#DataAnalytics #PowerBI #TrafficAnalysis #DataScience #Freelance #Traffic"

Data Analysis Data Engineering Data Visualization Microsoft Excel Microsoft Power BI Python analytics

Maty Sandoval

max

• Jul 19

The hotspot map alongside the prediction dashboard is a great combo, turns raw congestion numbers into something a city planner could actually act on. Was the traffic data public/open source, or did you have to piece it together from multiple sources?

Monodeep Samanta

pro

• Jul 18

Workforce Activity Overview – Mobile Dashboard Widget This mobile activity widget was designed to help employees and managers understand yearly work patterns without opening a full dashboard. It brings together total logged hours, annual leave, sickness, training and project activity in one clear view, using strong hierarchy and restrained corporate colours to make the information easy to scan.

The simplified layout could reduce the time needed to review an employee’s activity from several minutes to under 30 seconds. Managers can identify unusual absence levels, check workload distribution and prepare performance reviews faster, while employees gain a clearer understanding of how their recorded time has been allocated.

Figma Jitter

Maty Sandoval

max

• Jul 19

That yearly summary view is such a smart addition, most time trackers stop at weekly reports and leave you to do the math yourself. Did the Jitter integration require much custom mapping or was it fairly plug and play?