What we offer

We specialize in customized, high-quality forecasting models powered by Machine Learning and AI. Our solutions seamlessly integrate with Microsoft services such as Power BI and Azure, ensuring a smooth user experience and easy maintenance.

Explore our wide range of data science services.

Learn how a demand sensing model integrated with Power BI helped an FMCG company streamline and enhance their planning process – explore the case study.

Project Implementation Steps

Based on our experience with data science projects, we follow a proven approach to ensure the highest level of accuracy and value in our services:

Assesment

Our process begins with a detailed dialogue to discuss your existing setup, understand your business and forecasting needs, and address any questions. Recognizing that every business has its unique complexities, we employ a carefully curated set of business and technical questions to pinpoint what’s most important and identify where the highest leverage lies.

Data audit

Once we have a clear understanding of your needs, the next step is conducting a data audit. We believe it is crucial for our customers to be aware of the possibilities before making a significant commitment. That’s why we undertake a sophisticated Proof of Concept (POC), running our tests and experiments on your dataset (minimal infrastructure access required) to uncover its potential. You will receive a comprehensive report detailing the extent of benefits that a custom-made forecasting model could provide.

Integration

Upon reaching an agreement, we proceed to scale up your infrastructure pipelines to accommodate advanced machine learning needs – this is the integration phase. Our team of specialized data engineers manages this process. With our expertise in Azure, you can rest assured that your data will be secure, and infrastructure costs will be optimized.

Forecast

In this phase, we transition into forecasting. Utilizing the machine learning infrastructure established in the previous step, our team of data scientists collaborates closely with your domain specialists. This collaboration ensures the delivery of models with the highest possible accuracy, tailored to solve specialized problems rather than offering generic solutions. This transparency ensures full visibility into the project’s progress and allows for adjustments in trajectory as needed.

Maintenance

After the forecasting phase, our focus shifts to maintenance – ensuring your forecasting model remains finely tuned to accommodate future changes.