AI technologies such as machine learning have become an industry standard for supply chain forecasting and planning. However, the recent global pandemic, geopolitical situation and climate change caused unprecedented disruptions that challenge even the savviest supply chain leaders. In this webinar, Prof. Devavrat Shah, Director of the Statistics and Data Science Center at MIT and CTO & co-founder of Ikigai Labs, talks about how AI and data can help you reduce variability and optimize inventory levels. In this webinar, Prof, Devavrat explained three innovative technologies and demonstrate their application to real-world supply chain problems, specifically: - How multivariate time series forecasting helps predict demand when large sets of historical data are not available - How to use reinforcement learning to optimize your supply chain operations for your desired business outcomes - What is aiMatch and how it helps stitch together data from any sources

Welcome to Ikigai! This is a short onboarding tutorial to get you started in minutes. In this video, we will be creating a simple flow that selects a few columns and saves the output. Please start a free trial to follow along.

Demand planning is a complicated, collaborative process wherein the understanding of future customer demand helps in deciding inventory, production, revenue, and services across the organization. While accurate forecasting is an important step towards it, the end decisions are about deciding between various plausible tradeoffs. Typically, such tradeoffs are evaluated in an ad-hoc manner at the best, and there is no one-size-that-fits-all solution in terms of which tradeoff to choose to operationalize. In this webinar, we’ll be discussing recent technological advances that enable evaluation of feasible tradeoffs between multiple objectives using historical data with the help of scenario analysis so that teams working collaboratively can make such decisions that are right for them at that time. Join our group of presenters to learn about: - Scenario analysis and how it can help evaluate feasible tradeoffs - Role of forecast accuracy in demand planning through scenario analysis - End-to-end tools that incorporate data, enable accurate forecasts, perform scenario analysis and operationalize demand planning across the organization based on the chosen tradeoff

In this video, Nate Lanier, Ikigai's Senior Data Scientist, answers one of the more frequent questions that we get from our clients: how to overcome the limitations of a JOIN.

In this video, Camil Blanchet, Ikigai's Enterprise Solution Architect, answers one of the more frequent questions that we get from our clients: which data inputs to use for demand forecasting.

In this video, Camil Blanchet, Ikigai Enterprise Solution Architect, answers one of the more frequent questions that we get from our clients: how to forecast demand for a new product launch.

In this video, Ruhi Patel, Ikigai's Data Success Engineer, answers one of the more frequent questions that we get from our clients: how to collaborate on S&OP using data and AI-powered apps.

Gaining insights into your business should be easier. DOAP, brought to you by Ikigai Labs co-founders Vinayak Ramesh and Devavrat Shah, features discussions on perfecting the synergy between data, AI, and humans with special guests. Start transforming your business by tuning into these episodes now.

In Episode 2 of Data, Operations, AI, and People [DOAP], Devavrat Shah, Ikigai Labs’ CTO and co-founder, chats with Munther Dahleh—the founding director of IDSS at MIT. Together, they discuss IDSS and the role of data, data in organizations, and the role of education in creating data-enabled decision-makers.

In this video, Miral Gandhi, Ikigai Analytics Strategist, shows a demo of aiPlan, Ikigai's planning solution that uses Reinforcement Learning to drive optimal outcomes. Achieve your business goals by leveraging Ikigai’s patented aiPlan, powered by reinforcement learning AI, that compares up to 10 to the power of 19 possible scenarios and recommends the most optimal ones. Learn More: https://www.ikigailabs.io/reinforcement-learning

Introducing Ikigai, an end-to-end AI-powered data platform that enables business users to connect their data and leverage no-code AI/ML with just a few clicks to drive insights and actions through interactive dashboards without IT or data scientists. ​

In this video, Miral Gandhi, Ikigai Analytics Strategist, shows a demo of aiMatch, Ikigai's tool for AI-powered data preparation and stitching. Stitch even the most disparate datasets in minutes with Ikigai’s patented aiMatch method. It doesn’t require any data pre-processing, improves over time, and learns from humans. Learn more: https://www.ikigailabs.io/aimatch

aiCast capability only needs as little as three weeks' worth of data to develop dynamic insights and build complex forecasting models.

In this video, Miral Gandhi, Ikigai Analytics Strategist, shows a demo of aiCast, Ikigai's innovation which enables you to forecast with limited historical data. Increase forecasting accuracy and reduce over/under forecasting by incorporating Ikigai’s aiCast to account for short-term demand fluctuation. Learn more https://www.ikigailabs.io/time-series-forecasting