Excel Predictive Sales Forecasting

@schoudhary1553

I'd love to work on your project. I can deliver a clean, high-quality solution with fast communication and on-time delivery. Let's discuss the details!

@bhupendrayadav

I have already created the similar project, please check the project details here - https://www.freelancer.in/portfolio-items/11444960-financial-forecasting-and-dashboard I am an Excel & VBA Automation Expert with an MBA and 10+ years of experience delivering smart solutions to global clients (eg. Decathlon, E&Y, Schindler). I’ve successfully completed 100+ projects (4.9★ rating), helping businesses save time, reduce errors, and boost efficiency. I can deliver a fast, accurate, and customized solution for your requirements. Let’s chat and discuss your project—I can start right away. Looking forward to working with you!

@robertb297

Hi, I am interested in helping you turn your historical monthly sales data into a clear and refreshable Excel forecasting model. My approach would begin with reviewing the CSV structure, checking date consistency, missing values, duplicate records, product or sales-category fields, and any unusual figures. After cleaning and organizing the data, I would select an appropriate forecasting approach based on the available history and the behavior of the sales series. The workbook would include: • A clean and well-structured data sheet • A transparent forecasting model with visible formulas and assumptions • Historical versus forecasted sales views • Forecast accuracy testing using a withheld validation period • Key accuracy measures such as MAE, RMSE, or MAPE where appropriate • An interactive dashboard with charts, KPIs, filters, and future projections • A short methodology and update guide for adding new monthly CSV data I will keep the calculations inside Excel, using suitable tools such as Power Query, Excel formulas, the Data Analysis ToolPak, and built-in forecasting or regression functions where appropriate. I will avoid unnecessary VBA so the workbook remains easy to open, maintain, and update without macro warnings. Before confirming the final timeline, I would like to review: 1. The number of months covered by the historical data 2. The number of products, regions, or sales categories 3. Whether the forecast should be generated for total sales or for each product/category 4. The required forecast horizon, such as 3, 6, or 12 months 5. Any known seasonality, promotions, stock-outs, or exceptional sales periods Once I review a sample CSV, I can confirm the modeling approach, estimated delivery time, and workbook structure. Best regards, Robert

@alluankit01

Hi, I can build your Excel-based predictive sales forecasting workbook with cleaned monthly sales data, visible formulas, forecast model, dashboard, and a clear one-page methodology note. The best solution is to first review your CSV structure, sales history, seasonality, missing values, outliers, and forecast horizon. Then I’ll clean the data using Excel/Power Query, create a suitable time-series or regression model inside Excel, test forecast error on a withheld sample, and build an interactive dashboard for past trends and future projections. I’m comfortable with Excel forecasting, Power Query, Data Analysis ToolPak, regression analysis, time-series forecasting, Solver/VBA where useful, data cleaning, forecast accuracy testing, dashboards, charts, slicers, KPI summaries, and non-technical reporting. Deliverables will include: * Cleaned data sheet * Forecast model in Excel * Visible formulas and assumptions * Withheld-sample error testing * Forecast accuracy summary * Interactive dashboard * Past sales trend charts * Future projection charts * KPI summary cards * Refreshable CSV workflow * One-page methodology note * Update instructions I’ll focus on building a practical, fully Excel-based forecasting file with no external scripts, no broken links, and clear results that business users can understand quickly. Best regards Ankit

@subaigfalcon

Greetings, I am a Professional Accountant and MBA Accounting & finance. After carefully reading your project description, I think that I am the perfect candidate! With over 13 years of experience. I have strong experience in Excel, Power Query, VBA, forecasting, financial analysis, and dashboard development. I can deliver a clean, practical model that is easy for non technical users to understand and maintain. I can build your reliable Excel sales forecasting model from the monthly CSV data, including data cleaning, Power Query automation, predictive forecasting, and an interactive dashboard. I’ll choose the best Excel method to predict future sales. I’ll test the forecast with some past data and show how accurate it is. I’ll keep the formulas easy to see and explain all the cleaning steps, so you can easily update the model with new data later. The final workbook will include: • Cleaned and structured sales data • Predictive model with visible formulas • Historical vs. forecast analysis • Interactive dashboard with charts, slicers, and key KPIs • One page methodology and update guide • No external scripts or broken links Timeline: 5-6 days, depending on the size and complexity of the data. I can guarantee getting the job right the first time. Feel free to view my 100% positive reviews before you hire me and rest assured that you will receive top quality work at an affordable cost. I’m ready to review your sample CSV and get started. Kind regards, Sartaj

@albertc1996

I have deep experience with Excel-based time-series forecasting and data modeling. I can build a clean, automated solution using Power Query for repeatable data transformation and standard statistical techniques to generate your projections. My approach: Data Prep: Use Power Query to build a repeatable cleaning pipeline for your monthly CSV exports. Modeling: Apply robust statistical forecasting within Excel (using Data Analysis ToolPak/Regression) with MAPE/RMSE error testing on withheld data to ensure accuracy. Visualization: Create a dynamic dashboard with Slicers and Charts tailored for non-technical stakeholders. Documentation: Provide a one-page “Update Guide” for refreshing the model with new monthly data. I ensure all calculations are native to Excel—no external dependencies—and fully transparent for your review. Please share a sample CSV to demonstrate the model structure I will implement.

@warrick1718

This project immediately caught my attention because it is exactly the type of work I do best. The need to turn historical sales data into a clean, professional, and user-friendly predictive model is critical. I understand the importance of an interactive dashboard for non-technical stakeholders and the need for seamless integration of time-series techniques within Excel. While I am new to freelancer, I have tons of experience and have done other projects off site, including similar predictive modeling and data cleaning tasks. My expertise includes Data Analysis ToolPak and Power Query, ensuring a streamlined workflow. If this sounds like what you're looking for I'd love to hear more about your project. Regards, Warrick Van Eeden

@JinKhajama7668

Hi, I can build this as a fully refreshable Excel forecasting model, not just a static prediction sheet. I’ll clean and structure the monthly CSV data, choose an appropriate forecasting method, test it on a withheld sample, and keep all formulas and assumptions transparent inside Excel. The final workbook will include cleaned data, the predictive model, forecast-error reporting, and a clear interactive dashboard with charts, slicers, and key metrics. I’ll also include a concise one-page guide explaining the methodology and how to update the model with new monthly data. I’m ready to review the dataset and confirm the best approach and timeline. Best regards, Kaushal Kishor

@LehloM

I’m Lehlogonolo Mokwena, and I understand your need for a predictive sales forecast using Excel. To turn your historical sales data into a robust model, I will first clean the raw figures and then apply time-series techniques using Excel’s Data Analysis ToolPak and Power Query. I will create an interactive dashboard to ensure clarity for non-technical stakeholders, highlighting key metrics and future projections. Each transformation step will be documented for easy updates. I’ll also conduct a forecast error analysis and ensure the workbook is free from broken links or disabled macro warnings. If you’re interested, please don't hesitate to have a quick chat; the worst that could happen is you getting a free consultation.

@tinyopsezr

Hi, TinyOps Studio can build this as a transparent, refreshable Excel forecasting workbook, with every cleaning step, assumption, calculation, and validation result visible inside the file. My proposed approach: - import and normalize the monthly CSV exports with Power Query - document type, date, missing-value, duplicate, and outlier checks - establish a simple baseline, then compare appropriate trend, seasonal, regression, or ETS models - reserve the latest periods as a holdout and report MAE, RMSE, and percentage error where the data supports it - choose the model based on validation performance and practical maintainability - build an interactive dashboard for actuals, forecast, variance, trend, seasonality, and key drivers - keep formulas visible and avoid external scripts, broken links, and macro warnings Deliverables include the cleaned-data layer, model and validation sheets, forecast table, interactive dashboard, a one-page methodology and update guide, and one consolidated revision round. I will also test the refresh flow with an added sample month before handoff. Please share a sample CSV, the number of months and product or region dimensions, the forecast horizon, Excel version, and the business metric that matters most. Bid: INR 25,000 fixed, delivered in 3 days after receiving the files and definitions. Work and handoff can be fully asynchronous through Freelancer, beginning after the first funded platform milestone.

@shainw

Are you struggling with sales forecasting that lacks accuracy and clarity? I can help you transform your historical sales data into a forward-looking forecast using Excel. I specialize in data analysis and predictive modeling, focusing on cleaning raw figures, applying time-series or regression techniques, and presenting results in an easy-to-understand format for non-technical stakeholders. You can expect clear communication, organized milestones, and regular progress updates throughout the project. I’ll start by thoroughly reviewing your dataset and recommend the most effective approach using tools like Data Analysis ToolPak and Power Query. Upon completion, you’ll receive a well-structured Excel workbook that includes the cleaned data, a predictive model with visible formulas, and an interactive dashboard summarizing key metrics. Additionally, a short write-up will explain the methodology and updating process. Drop me a message for examples of my work. Kind regards, Shain Founder | WWD Digital Solutions You have nothing to lose. If we're not the right fit, you'll still receive a FREE professional consultation to help point your project in the right direction—no obligation. ?

@jccobian

Hello, I can build the refreshable Excel forecasting workbook you described, with the complete calculation path kept inside Excel. My proposed approach is to standardize the monthly CSV inputs with a clear transformation table, fit an auditable trend-and-seasonality model on a training period, reserve recent months as a holdout sample, and report the holdout error before producing the forward forecast. I prepared a synthetic proof for this project. It contains 36 training months, a six-month holdout test, visible trend and monthly-seasonality formulas, MAPE, an interactive summary dashboard, a future six-month forecast, and a methodology sheet. On the synthetic test data the holdout MAPE is 6.4%; this is demonstration evidence only, not a claim about your unseen data. Deliverables would include: - a cleaned and structured source-data sheet; - a fully visible Excel model with no external scripts; - withheld-sample error testing and clearly reported MAPE; - dashboard KPIs, trend chart and future projections; - a one-page methodology and refresh guide; - final checks for broken links, formula errors and maintainability. I would start by reviewing the CSV column structure, sales grain, missing-month rules, forecast horizon and preferred error measure. I can provide the first mapped workbook early in the delivery window, then refine the model and dashboard after your review.