Meet our team, get advice, guidance and best practices for modern Demand Planning, Forecasting and Optimization
Stemly's Demand Planning solution has achieved the ‘Built for NetSuite’ status. The new SuiteApp, built using the Oracle NetSuite SuiteCloud Platform, helps organizations seamlessly integrate demand forecasts and plans within NetSuite.
Read about how Stemly’s machine learning engineer intern, Daan Ferdinandusse presented his work done at Stemly at the highly coveted International Conference of Machine Learning (ICML) 2022.
We are happy and honoured to have been awarded the SOC 2 Type 1 certification for data security!
Stemly’s decision intelligence platform for supply chain and finance to offer seamless integration with Japan's No.1 BI dashboard, MotionBoard, and the Dr.Sum data analysis platform from September 2022.
Stemly is very excited to announce the appointment of Abhimanyu Prabhavalkar as Chief Technology Officer. Abhimanyu will be responsible for Stemly’s technology strategy to ensure our industry-leading SaaS products are built in a robust and scalable fashion. He will oversee global product development and product operations for Stemly.
Stemly in collaboration with ING, were awarded the Proof-of-Concept (POC) grant which provides funding support for experimentation, development and dissemination of nascent innovative technologies in the financial services sector. The POC grant is part of the Financial Sector Technology and Innovation (FSTI) scheme under the Financial Sector Development Fund administered by Monetary Authority of Singapore (MAS).
We are happy and honoured to have been awarded the ISO/IEC 27001:2013 (ISO27001) certification in February 2022!
Adele is an intern in the business operation and sales team at Stemly. She is currently an undergraduate studying in the National University of Singapore and is majoring in Economics.
Chang Wei is a Data Scientist at Stemly. He studied Electrical Engineering at Monash University, Melbourne, and further his studies with a Ph.D. in Machine Learning, specializing in Scalable Time Series Classification.
Technology is advancing at an increasingly rapid pace, many of the things that we thought were a dream a few years ago are reality today. Artificial Intelligence (AI) and Machine Learning (ML) for use in demand planning have been talked about for a long time and have promised much but delivered little. Until now.
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