Plan Ahead: Sales Forecasts

Improve your demand planning and optimize cash flow management with accurate machine learning expert algorithm for existing and new products.

Unlock versatility

Launch new products

Simplify access for all teams

Sales Forecast Algorithm

Working principles

Trend, seasonality and special events

For each product, the sales trend is computed as well as the sales weekly, monthly and yearly seasonality

Global prediction

The forecast is made using previously fitted components and projecting them into the future.

Store per store prediction

The forecast is multiplied by each store’s share of sales in the item’s category to get a store per store prediction

Our Process

Data collection and preprocessing

The algorithm requires 2 sets of data

Retailer’s POS data
Product description table

Preprocessing the data

Group items together given the average number of sales per day, the type of selling (by unit or by weight/volume) and the category/sub-category
Compute additional information about the product
Manage missing values

Use Cases & Benefits

Why you need to use sales forecast

Strengthen your assortment planning

Adapt your stock management and promotion planning to the specific buying patterns of each product
Automatically manage the launch of new products

Enhance your customers experience

Avoid out-of-stocks
Better prices given customer demand for each SKU
New products to match customer’s demand
Leverage machine learning expert algorithm to save 100’s of hours

Time-saving and efficiency

Build several scenarios and choose the optimal one

Adapt Your Strategy Given Predicted Future Sales in 4 Steps

Build your scope

Define the stores and dates for which you want a forecast.

Define your product

Select your product if it is an existing one or build a description for a new item.

Forecast

Launch the algorithm to compute the forecast.

Analyze

Get insight from store per store and item per item results.

Try Sales Forecasting on Demand with Us Today!

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