Worth of products managed
Retailers and manufacturers around the world have benefitted from our platform. Utilizing internal and external data sources, Remi interprets the key demand drivers in your business. The result is highly accurate demand forecasting. Helping you improve forecast accuracy, demand and supply planning and general supply chain optimization.
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We are thrilled to now offer demo access, allowing you to familiarize yourself with the platform in a contactless, no commitment manner.
$7 Billion
Forecasts run each week
12 million
DEMO OUR DEMAND FORECASTING
SOLUTION
WHY REMI
Demand forecasting in a
league of its own.
Unlike traditional demand planning that relies mostly on consumption and historical sales to build a forecast, Remi Ai encompasses external data streams such as promotional behaviour, weather, and global events to more accurately predict future time series.
Remi Ai’s Demand Forecasting is driven by an AutoML deep learning service that utilises best-in-class algorithmic approaches for you supply chain and sales forecasting.
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Inbound Data
With native integrations built for many data sources, Remi rapidly connects your internal systems to extract the data required to produce your machine learning forecasts.
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The impact? Forecasting challenges addressed quickly.
Probabilistic
Forecasts
Remi AI’s probabilistic forecasts capture the possible breadth of demand, rather than just the average forecast. Giving you confidence in the face of uncertainty in your Supply Chain.
70%
Reduction in
back orders
15%
Increase in
cash flow
14
Demand
Forecasting Methods
AUTOML
The benefit reaped from our Demand Forecasting comes from the 14 different time series methods we utilise, including recurrent neural networks, deep learning, probabilistic, and ARIMA.
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The good news for any non-technical readers: you don’t need to know anything about these models, instead our AutoML service handles all the training, optimisation, testing of the 14 models, so you know you’re guaranteed the best model for your specific data.
This model and its parameters are specific for each of your products, ready to deliver forecasts on the cadence you work to.
14
Different demand forecasting methods
STATE OF THE ART MACHINE LEARNING
Using the best-in-class probabilistic and deep learning time series models, our APIs achieve results that are up to 50% more accurate than traditional time series methods.
50%
More accurate
Some of our clients
