E-Commerce

Sales Forecasting Model

Client: Major commerce enablement solution provider for large restaurants

Enabled 77,000+ merchants to optimize staffing and cut costs by providing precise sales forecasts through advanced analytics, resulting in sales growth

Challenges

  • Data aggregation and labeling based on store location and presented goods
  • Analysis and prediction of customer visits to points of sale depending on the local weather forecast, working days, holidays, and weekends
  • Data migration from private cloud to Google Cloud

Solutions

  • Automated ML training pipelines using Vertex AI
  • Google Cloud deployment automation
  • Quality assurance based on date and provided hyperparameters, as well as monitoring
  • Model scaling and optimization for more accurate results
  • Dispersed data collection and storage

Results

77k merchants are using the new platform to:

  • Reduce merchant staffing and planning costs
  • Increase sales of certain product categories 
  • Reduce customer checkout queues through improved staff scheduling
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