How to Forecast Sales and Inventory for Your Retail Business

There is nothing worse for an online business than running out of stock or alternatively being stuck with unsold inventory. Both of these scenarios will potentially impact your bottom line.

Regardless of how great your marketing plan is, or how well your eCommerce website may be converting, if you fail to plan ahead, your customer will find an alternative, no question about it.

Sales and inventory forecasting delivers the insights to easily identify obsolete stock in order to promptly liquidate it – thus lowering directly lowering the costs associated with keeping it on your shelves.

For these reasons and so many others, sales and inventory forecasting are extremely important, and the fact is that it really isn’t as complicated as some may assume. Using a combination of sales history and future trends in sales, Curve’s machine-leading based sale prediction solution can supply today’s top retailers with future sales forecasts, based on a variety of point for every product.

An important benefit to leveraging Machine Learning for sales forecasting accuracy is the ability of Machine Learning to ingest data and present that information at a granular level. Today’s leading retailers and marketers are using machine learning to understand, anticipate and act on their sales faster and with more clarity than their competitors.

WHO SHOULD USE SALES PREDICTIONS

Sales forecasting is for everyone anyone who has a stake in a retail or eCommerce business and takes interest in predicting its future sales. At Curve, we assist eCommerce and brick-and-mortar merchants make informed business decisions, using our machine learning sales forecasting technology.

SALES FORECASTING AND INVENTORY MANAGEMENT BY CURVE

SALES PREDICTION BENEFITS

  • Optimal Stock – Avoid being out of stock or having too much stock.
  • Advanced Analytics  – Get weekly, monthly and quarterly sales forecasts.
  • Sales Predictions – Totals per category or per individual SKU.
  • Location-based Data –  Forecast your sales by stores or sales channel.
  • Cut time and Cost – Automate time-consuming sales prediction tasks.

To Recap, best practice demand forecasting helps a business succeed in having the right product in the right place, at the right time. Curve helps you forecast sales by time frames and variables such as geographic locations, individual SKUs and much more. Sales forecasting is an essential business technique that delivers a visual representation of where your business is heading. It’s not just a fancy top-level solution, but can be used by everyone who has a stake in the business. If you haven’t done so yet, schedule a free demo with Curve today. 

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