Optimize Retail Pricing & Forecasting with Python Analytics Engine

Optimize Retail Pricing & Forecasting with Python Analytics EngineOptimize Retail Pricing & Forecasting with Python Analytics Engine

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Bidisha Shit

• 8h

Built a retail analytics engine that helps optimize pricing, forecast demand, and improve profitability using Python Key features: Price Elasticity Modeling ARIMA Demand Forecasting Product Segmentation (Star / Cash Cow / Dead Stock) Discount Simulation Engine Automated Business Recommendations Excel Dashboard with Conditional Formatting Tech Stack: Python • Pandas • Statsmodels • OpenPyXL The system analyzes Amazon retail sales data and generates actionable insights for: Revenue optimization Profit margin improvement Inventory & pricing decisions Demand forecasting GitHub Repo 👇 https://github.com/BidishaShit/Amazon-Retail-Decision-Engine-for-Revenue-Profit-Optimization #Python #DataScience #MachineLearning #RetailAnalytics #BusinessIntelligence #Forecasting #PricingStrategy #AI #Analytics #GitHub

Sapna Vikram

• May 20

Coffee Shop Performance Dashboard

Created an interactive business intelligence dashboard in Excel to analyze coffee shop operations. Tracked over 149K orders to uncover key insights, including peak sales hours, top revenue-generating items, and location-wise sales metrics.

Data Visualization Data Analysis Microsoft Excel

Geethasree Naguboina

pro

• 1d

149K orders analyzed and the peak hour insight at 10 AM is so actionable — that's exactly the kind of detail that helps a business owner make real decisions. The color theme matching the coffee brand is a nice touch too!

mary louis

• 17h

Many businesses struggle with outdated dashboards, confusing analytics, poor user experience, and systems that make decision-making harder instead of easier. This modern analytics dashboard was designed to solve that problem with a clean UI, real-time insights, dark/light mode support, responsive layouts, and powerful data visualization. Instead of losing time trying to understand scattered data, users get a professional system that improves productivity, tracks growth, increases efficiency, and helps businesses make smarter decisions faster. Built for brands that want performance, scalability, and a premium user experience that truly stands out.🙌 🚀

Web Design Backend Development UI Design Next.js React Figma

Uzochukwu Okafor

• 1d

The fewer the sections, the easier the instinct to drop the price. A client came back to me this week with a revised scope for a landing page. The original was a multi-section site. The new ask was a single screen, stealth-mode brand page for their lab. I knew the build wouldn't take me long. And my first instinct was to drop the price. But I sat with it for a bit. This was for an audience that operates at the highest end of their industry. I kept coming back to that. A single-screen brand object for that kind of audience needs more craft per pixel from me, not less. The visible surface area is smaller, but the bar I have to hit is higher. I sent the revised proposal holding most of the original price. 50/50 terms. Pricing for the outcome instead of the hours is something I'm still learning to do consistently. But the right clients have always understood it.