This sales prediction project aims to set the sales target to give a better result. The primary use of sales prediction is to establish sales performance goals for the concern and maintain inventory products. T
In this paper, a comparative study is conducted on machine learning models used for predictive analytics of sales. Sales prediction is an important part of modern business intelligence and proves useful toward better stock administration and staff scheduling which in turn boosts deals and consumer loya...
When the model training is complete, SageMaker Canvas shows the prediction accuracy of the model on theAnalyzetab. For this example, it shows prediction accuracy as 79.13%. We can also see the impact of the columns on the prediction; in this example,promoandsch...
A similar approach could be adopted to explain a retail sale prediction model in a real scenario. Explore More Codeless XAI Solutions KNIME Analytics Platform offers many codeless solutions to train and also explain the predictions made by a complex machine learning model, also called a black box...
Alro10/deep-learning-time-series Star2.7k List of papers, code and experiments using deep learning for time series forecasting deep-neural-networksdeep-learningtime-seriestensorflowpredictionpython3pytorchrecurrent-neural-networkslstmseries-analysisforecasting-modelslstm-neural-networksdemand-forecastingseries-for...
These predictions, done using any preferred model, can be turned into a more disaggregate-level prediction using the GSP approach. The application of GSP is not restricted to new products or new markets but can be helpful in such situations. We applied GSP to predict disaggregated sales of two...
Dylan Lewis:As we wrap up here, we've spent a lot of time talking about AI, generative AI, agentic AI, I'm going to ask you to peer into your tech crystal ball a little bit. Do you have a reckless prediction on the direction or the development of AI, whether it's in how custom...
Use it for prediction!You can now get predictions on images that the model has never seen before. It’s as simple as making an API call using the new model ID. Computation: Einstein Language If images aren’t what you need to process, chances are you’re looking to train using text. ...
using a lookup file, and calculate a sales prediction score specifically for the known contact based on the plurality of events represented in the activity data by, at least weighting each of the plurality of events according to a predictive model, wherein calculating a sales prediction score ...
using a lookup, wherein the known company is represented by data stored across a plurality of data sources and connected, at least in part, by the company identifier, and wherein the data, representing the known company, comprises contact information, andcalculate a prediction score for the ...