Thread by @daansan_ml

Want to see the power of Time Series forecasting in action? 📈

Let's take a look at how the retail giant Walmart uses it to improve its operations. 🤯

🧵 THREAD🧵

#timeseries #forecasting #retail #example

Walmart has been using time series forecasting for decades to predict sales and optimise inventory levels.

By analysing historical sales data, weather patterns, and other factors, they're able to make more accurate predictions about future demand for products.

This allows them to ensure they have the right products in stock at the right time, reducing stockouts and increasing customer satisfaction.

Can you imagine going to a store and not finding what you were looking for?

With time series forecasting, it's less likely to happen.

And it's not just about reducing stockouts, by using forecasting to optimise their inventory, Walmart is able to reduce waste 💚 and save on storage costs💰.

This helps the company to stay competitive in the retail industry.

Time series forecasting is not just a fancy tool, it's a business-critical one.

And it's not just retail, it's used across multiple industries such as finance, energy, healthcare, and more.

The next time you're in any store, remember the power of time series forecasting and how it's helping to improve operations and make your shopping experience better.

Please 🔁Retweet the FIRST tweet if you found it useful!

🔔 Follow me @daansan_ml if you are interested in:

🐍 #Python
📊 #DataScience
📈 #TimeSeries
🤖 #MachineLearning

Thanks! 😉