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Artificial Intelligence at Direction
At Direction Software, our AI team comprises skilled professionals with extensive experience delivering effective IT and business solutions to global clients across sectors such as utilities, retail, telecom, healthcare, and eCommerce.
We bring proven expertise in building and deploying forecasting solutions, with successful implementations across multiple regions. Our team has worked with both native and cloud-based environments, particularly in the utilities and healthcare industries.
Our capabilities include the design and development of advanced AI/ML-based solutions, leveraging widely used libraries, frameworks, and tools such as Python, Deep Learning, GluonTS, Keras, Artificial Neural Networks (ANN), FB Prophet, Google TFT, MLflow, and Apache Airflow.
The forecasting systems we build are designed to be robust and flexible. They incorporate both AI and non-AI algorithms, including a fallback model based on linear regression. This ensures accurate predictions even when data is limited due to short durations or disruptions such as the Covid-19 pandemic.
Demand-potential forecast
A suite of artificial neural network (ANN)-based models was implemented to supplant a legacy algorithmic approach for demand-potential prediction across 12 regions encompassing over 290,000 stock-keeping units (SKUs) distributed across diverse product lines.
Top-flop predictions
Direction developed a solution to pinpoint high-performing and low-performing products across diverse product lines through a customized iteration of the artificial neural network (ANN)-based demand-potential forecast solution.