VIKTIO - Loading Planner Platform

Using Data Science Predictions

to increase sales while reducing wastage costs

Platform Demo
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How it works

Data mining: With a simple cloud upload or API data feed connection, millions of consumption data is processed safely in the cloud and connected to features such as holidays or weather.

Prediction: The machine learning algorithm intelligently chooses the most relevant criteria to predict future consumption.

Loading Instructions: Once paired with expected future customer numbers, the platform  advises the optimal product loading or production to ensure the availability of the right number of products.

Customer choice guaranteed, wastage continually decreasing

The more data is available for the platform to process, the better the prediction of future choices, allowing increased sales and reduced wastage costs

Industries

Where the platform can be utilised for quick data import and generation of savings

Airline Retail

The moment an airline records consumption and sales, often in connection with a retail program, the data science prediction platform ensures that even the last rows of passengers have their fresh product choice. As a result, the airline is able to reduce wastage and associated costs far below industry standards.

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Train Retail

Similar to airlines, trains also face limited product space on board yet are expected to provide a choice of fresh products to passengers. Point of sale systems can allow the prediction  platform to access millions of consumption data to predict future sales and reduce wastage costs.

Restaurants

While storage space is not the biggest challenge for restaurants, freshness and a large product choice is always expected. The prediction platform enables chefs to forecast not only the number of guests but also what meals will be chosen. A revolution in meal planning.