Sales Forecasting Expert

@gupsy2255

You wont find here anybody without using AI... None of them here would be able to help you without AI to do the basic excel build up. even the bids you see here except mine are being placed using AI. If you are still comfortable working with a business analyst who uses AI coupled with own business and sales experience.. do feel free to message me here..

@belarjsoufiane20

Hi, I’m a statistician with 7+ years of experience in financial data analysis, forecasting, predictive modelling, and advanced Excel/Python analytics. I can build your automated sales forecasting and target-setting model with a strong focus on statistical accuracy and back-testing, rather than simple run-rate formulas. I will develop: • Accurate landing forecasts using historical trends, seasonality, YoY performance, sales velocity, value/quantity and product/segment performance. • Four statistically justified scenarios: Pessimistic, Realistic, Stretch and Optimistic. • Automated target revision recommendations. • Forecasts at business, segment and product-line levels. • Historical back-testing and forecast error analysis. • A fully automated Excel model that updates as new weekly data is added. I can use Python for the statistical modelling and validation, and Excel for the final automated business tool. The key objective will be to build a forecasting methodology that is accurate, explainable, auditable and commercially useful.

@nareshk44

Hello, I’m Naresh. With an MBA and dual specialization in Business Analysis and Finance, along with 5+ years of experience in financial modelling, forecasting, data analytics, and business planning, I can develop the robust, statistically tested Sales Forecasting & Target Setting Model you require. ➡️ I specialize in: • Financial & Retail Forecasting • Advanced Excel Financial Modelling • Predictive & Scenario Modelling • Sales Trend & Velocity Analysis • Seasonality & Historical Analysis • Large Multi-Dimensional Datasets • Value & Quantity Forecasting • Target Setting & Performance Analytics I understand that the priority is not simply creating an Excel dashboard or applying a basic run-rate formula. I’ll develop and compare appropriate forecasting methodologies using your historical data, then select the approach based on measured back-testing accuracy and business relevance. ➡️ I provide: ✔ Automated Sales Landing Forecast ✔ Total Business, Segment & Product-Line Forecasts ✔ Value & Quantity Forecasting ✔ Pessimistic, Realistic, Stretch & Optimistic Scenarios ✔ Statistically Justified Target Recommendations ✔ Historical Back-Testing ✔ Forecast Error & Accuracy Analysis ✔ Seasonality & Outlier Treatment ✔ Automated Weekly Data Updates ✔ Transparent Forecasting Equations & Assumptions ✔ Fully Automated Excel Model ✔ User Guide & Methodology Documentation I look forward to collaborating with you! Regards, Naresh

@caajoys

Thank you for considering my proposal. I have gone through the requirements in detail. This project strongly aligns with my experience in financial forecasting, sales performance analysis, scenario planning and advanced Excel modelling. I understand that the priority is a statistically defensible, explainable model—not a simple run-rate forecast or a visually impressive spreadsheet. I can build a fully automated forecasting model incorporating actual performance, remaining weeks/days, historical weekly/monthly patterns, prior-year performance, recent velocity, seasonality, value/quantity trends, Segment and Product Line performance. I’ll develop and back-test alternative methodologies, compare forecast errors, and select the approach based on measured historical accuracy. The model will provide Pessimistic, Realistic Landing, Stretch and Optimistic scenarios with clear business rationale, together with Current Target → Expected Landing → Gap/Upside → Recommended Target and clear target-risk indicators. New weekly data can then flow through automatically without rebuilding the model. I’m ready to build a robust, explainable and historically validated forecasting tool that can genuinely support sales target decisions.

@abhay686

Hi, I have 7+ years of experience in data analytics, advanced Excel modelling, sales performance analysis, target setting, and business reporting. I understand this project is **not about creating a simple run-rate forecast**. I can build an explainable forecasting model that combines historical weekly sales distribution, seasonality, YoY trends, recent sales velocity, value/quantity movement, remaining selling periods, and Segment/Product Line performance. I’ll first back-test different forecasting approaches against historical periods and select the methodology based on actual forecast error. The Excel model will then automatically provide **Expected Landing, Target Gap, Recommended Revised Target, and Pessimistic / Realistic / Stretch / Optimistic scenarios**, each with its own business logic rather than arbitrary percentages. The final workbook will be fully automated, auditable, protected where required, and easy to refresh by adding new weekly sales data. I’ll also document the equations, weights, assumptions, accuracy results, and target-revision logic clearly. Let’s connect over the chat so that I can show you my previous work.

@Shahzadanalyst

Hi! I’d love to assist you with developing a robust, explainable Sales Forecasting & Target Setting Model using advanced Excel, financial analysis, and predictive modelling. Why Choose Me: Finance & Data Analytics: I have a BBA in Data Analytics with hands-on experience in Excel, Python/Pandas, Power BI, predictive modelling, and large datasets. Forecasting: I can analyze historical trends, seasonality, weekly patterns, growth/decline, Value and Quantity, Segment and Product Line performance to build a methodology beyond simple run-rate calculations. Back-Testing: I will test forecasting approaches against historical periods, measure forecast errors, and select the approach based on actual historical accuracy. What I Will Provide: • Automated Total Business, Segment, and Product Line forecasts. • Value and Quantity forecasting. • Pessimistic, Realistic, Stretch, and Optimistic scenarios. • Target, Expected Landing, Gap/Upside, and Recommended Target analysis. • Historical back-testing and error analysis. • Fully automated and auditable Excel model. • Clear documentation of equations, assumptions, and methodology. I will focus on building a statistically justified model that is practical for recurring commercial decision-making. I can begin immediately by reviewing the available data and determining the most appropriate forecasting approach.

@imranahmadquresh

Hi, I understand you need a Data Analyst using Excel for Sales Forecasting. I offer my services for this project. I hold the IBM Data Analyst Professional Certificate from IBM. I have made many Data Analysis based projects using Excel as follows; • Construct pivot charts and pivot tables. • Work with Power Query for ETL and ELT to better clean and transform data. • Work with Power Pivot to build charts and tables. • Create measures using Power Pivot to perform advanced analysis. • Build interactive dashboards. • DAX measures for the metrics. • Deal with duplicate or null values in data. • Statistical Analysis such as Mean, Median etc. • Merge and append multiple sheets. • Analyze data in spreadsheets by using filter, sort, look‐up functions. • Create basic visualizations such as line graphs, bar graphs, and pie charts using Excel spreadsheets. • Construct advanced charts and visualizations such as Treemaps, Sparklines, Histograms, Scatter Plots, and Filled Map Charts. I ensure to complete your project efficiently and on time.

@SyedTaha04

Hi, This project is a strong fit for my background in finance, financial modelling, data analytics, and advanced Excel. I have a solid understanding of forecasting, financial analysis, statistical modelling, seasonality, trend analysis, scenario planning, and translating large datasets into decision-ready models. I would not approach this as a simple run-rate forecast. I’d first analyse the historical data, test multiple forecasting approaches, incorporate weekly sales patterns, YoY performance, recent velocity, seasonality, value/quantity relationships, segment and product-line behaviour, and then back-test the methodology against historical periods. The final approach would be selected based on measured forecast accuracy. I can build the model so new weekly sales data automatically updates the total-business, segment and product-line forecasts, four scenario outcomes, target gaps, and recommended target revisions. I’ll also document the equations, assumptions, weighting methodology, scenario logic and limitations so the model remains fully auditable. I have extensive experience with Excel financial models, dashboards, data analysis and predictive modelling, and can share relevant financial modelling samples in chat. I’m ready to review your dataset and propose the forecasting methodology before building the final model. Regards, Taha

@Abrotab

As a data and business solutions specialist with expertise in financial and statistical analysis, I offer the unique skill set necessary to design, build, and automate a successful sales forecasting and target setting model. My proficiency in Excel, R programming, and advanced data manipulation techniques allows me to handle large datasets with multiple dimensions, including those which involve seasonality and historical trend analysis. These skills would be invaluable in incorporating additional historical variables into the model to enhance forecasting accuracy. Furthermore, my experience in retail and product-driven businesses gives me a solid understanding of the nuances of sales planning and target setting. This not only ensures my familiarity with various segmentation and product line analyses but also guarantees that I can create scenarios tailored to your specific business needs rather than relying on arbitrary adjustments. Lastly, my combinative skills in both data analysis and data visualization will be beneficial as outputs from complex models like this one have to be simplified for easy comprehension. My approach is not just about generating figures but ensuring clients understand the underlying rationale - a value I find mirrored in the ideal output of this project: The model must calculate an expected sales landing for each period based on actual performance to date.

@hemel558366

With over 5 years of experience specializing in retail data analytics and financial forecasting, I am confident that I can tackle the complexities of your Sales Forecasting & Target Setting Model. I have an exceptional command over Excel and advanced statistical tools that allows me to analyze large datasets with multiple dimensions efficiently. My broad knowledge in financial modelling and scenario planning will enable me to build a fully automated, reliable tool that can accurately predict expected sales, recommend target revisions and create diverse business scenarios. Having worked in the retail industry, I'm well-versed with the dynamics of product-driven businesses. This contextual understanding empowers me to consider factors such as seasonality and historical trends during sales forecasting for each segment and product line. My approach involves incorporating all relevant variables from your provided datasets like weekly, monthly, fiscal year performance, previous-year comparison, by segment, by product line - allowing for greater accuracy and adaptability.

@dongamerzy

Detail-oriented and reliable freelancer with skills in Data Entry and Video Editing. Experienced in accurately entering, organizing, and managing data while maintaining quality and confidentiality. Skilled in editing videos with clean cuts, smooth transitions, subtitles, background music, effects, and engaging visuals. Able to work efficiently, follow instructions, meet deadlines, and deliver high-quality results. Also interested in creating AI-generated videos and creative content for social media and digital platforms.

@iterativeTech

I'm Prem, an experienced AI and Cloud Data Engineering Specialist who can transform your sales forecasting process into a finely tuned, automated model. With a strong background in finance and data analysis, I've honed my skills in predictive modeling, scenario planning, and advanced Excel automation. What sets me apart is my business-first mindset - I ensure the solutions I build align with your unique objectives. In addition to my technical expertise, I also bring strong financial acumen to the table. My thorough approach to value and quantity analysis, extracting meaningful insights from large datasets is exactly what's required here. Lastly, my ability to provide actionable business intelligence through advanced analytics and decision support tools like Power BI and Tableau ensures you don't just get a generic run-rate calculation but a robust statistic-based forecasting methodology tailor-made for your organization. Let’s leverage AI and Machine Learning to drive better ROI for your sales forecasting efforts.

@rimiya1

I completely agree with your core premise: basic run-rates (actuals ÷ days × total days) fail in retail because they ignore weekly seasonality, volume-price interactions, and mid-month velocity spikes. You need a mathematically sound, audit-ready tool—not just a clean layout. Here is my approach to building your model in Excel: Forecasting Engine: Combine Exponential Smoothing with historical weekly seasonality indices. We will factor in volume vs. value dynamics and winsorize abnormal promotional outliers to protect the baseline. 4-Scenario Logic: Realistic Landing: Core weighted statistical model (actuals-to-date + seasonal curves). Pessimistic: Downside projection based on lower-bound confidence intervals and recent slowdowns. Stretch Target: Achievable upper target requiring specific velocity gains. Optimistic: Upper bound leveraging peak historical run-rates. Target Revision Rules: Dynamic equations comparing Target vs. Expected Landing to explicitly flag if current targets are aggressive, realistic, or at-risk. Back-Testing: I will run back-tests against your historical data, measuring Mean Absolute Percentage Error (MAPE) to prove forecast accuracy. Excel Architecture: Built with Power Query for effortless weekly data refreshes without breaking formulas, complete with a detailed user guide explaining all weights. I would love to review a sample of your dataset structure to discuss weighting rules.

@pianohawk

The mistake I'd want to avoid on your data is fitting a trend line to history that has promotions buried in it. If last year had a sale week, a naive forecast treats that spike as underlying demand and quietly predicts it again. Then the forecast misses and nobody can say why. So the first question is what drives your spikes. Promotions, seasonality, a big customer ordering irregularly, or something else. Once those are separated out you can forecast the baseline honestly and add the known events back on top, which also means you can show someone why the number is what it is. I'd want to know how much history you have too. Under two years of monthly data, seasonality is a guess and I'd tell you that plainly. Dressing it up in a confidence interval that isn't earned helps nobody. I do this on my own store's sales data, which has exactly this problem because my promotions distort the year. Send the file and tell me what you're forecasting for, budgeting or stock ordering, since that changes what the output should look like.

@prajaktas50

Hello, I am interested in this project. I have hands-on experience with SQL, Power BI, and Excel for data analysis, data cleaning, reporting, and dashboard development. I can work with SQL queries to extract and transform data and create interactive Power BI dashboards with meaningful insights. I am detail-oriented and committed to delivering accurate, high-quality work within the required timeline. I would be happy to discuss your project requirements. Thank you.

@udayp375

Hello, I am a skilled Data Analyst with experience in Excel, SQL, Python and Power BI. I can analyze your sales data, build an accurate forecasting model and provide clear insights. I can complete this project within 3 days with quality work and timely delivery.

@eternitech

Hi, New on Freelancer — 20 years of development experience behind us. We're taking our first few projects here at a fraction of our normal rate purely to build our review history. You get senior agency work at junior pricing; we get a review. Straight trade. identifying the specific sales data patterns and anomalies can often reveal hidden insights for more accurate forecasting. I'd start by analyzing your existing data visualization tools to ensure they are capturing all relevant metrics. Can you share the current dataset format you're working with?

@ahmeda792002

Hi, I understand that you are not looking for a simple run-rate Excel forecast, but for a statistically validated Sales Forecasting & Target Setting model that can be used for recurring commercial decisions. I can build the solution around historical sales patterns, recent sales velocity, seasonality, YoY performance, weekly/monthly trends, segment and product-line performance, while handling outliers and abnormal periods appropriately. My approach would be to compare suitable forecasting approaches using historical back-testing, select the methodology based on measured forecast accuracy, and clearly document the equations, variables, assumptions and limitations. The final Excel model can include: • Total business, segment and product-line forecasts • Sales Value and Quantity forecasting • Pessimistic, Realistic, Stretch and Optimistic scenarios • Current Target → Expected Landing → Gap/Upside → Recommended Target • Historical back-testing and forecast-error analysis • Automated weekly data updates • Clear input, calculation and output sections • Documentation and a user guide One important point I would like to confirm before starting: how many historical weeks/months of sales data will be available for back-testing, and how many years of historical data are included? I can start by analyzing the historical data and testing the forecasting methodology before building the final automated Excel model.

@nidhis503

Hi, I have hands-on experience in **financial analysis, retail analytics, forecasting, and advanced Excel-based modeling**. I can build a fully automated Sales Forecasting & Target Setting Model that updates dynamically as new weekly data is added. The model will include **sales landing forecasts, product-level forecasting, target recommendations, variance analysis, and multiple business scenarios**. I’ll also build clear logic to explain **why a target should be revised upward or downward**, rather than providing a black-box forecast. The final solution will be **user-friendly, scalable, and designed for practical business decision-making**. I’d be happy to discuss your data structure and forecasting approach.