Featured Blogs

The advent of foundational Large Language Model (LLMs) brings forth the promise of a universal prediction engine. In this article, we seek to understand whether such a promise is realized.

At Ikigai, we developed aiMatch. An ML solution that takes datasets as inputs, attempts to learn the relationship between the columns of datasets and then uses “similarities” between rows to “stitch”.

Read this blog to learn about what is considered clean data and how to use a data cleansing tools to automate data scrubbing.

Business intelligence is a broad term that encompasses procedures, infrastructure, tools and data sets used to make strategic business decisions.

Not only is following and engaging with influential experts an excellent strategy for staying on top of things, but it can also be a rewarding form of networking. You'll get to know fifteen experts who are influencing public opinion within their field of data expertise.

Ikigai Labs can identify lost sales and help optimize purchasing decisions while minimizing inventory cost. Learn how here.

Twitter and other social media platforms have been viewed as an effective tool for health research and are rich with metadata. However, the process of extracting data from online sources, cleaning and transforming it, and creating interactive dashboards is a laborious task. Ikigai makes it easy.

Weather data is essential to scenario analysis in demand planning because it provides valuable information about past and current weather conditions. In this blog we'll discuss how this data can be used to develop scenarios and assess their potential impact on future demand.

The emergence of new technology is one of the primary elements driving the evolution of demand planning. Three technologies influencing how firms approach demand planning include artificial intelligence (AI), time series forecasting, and scenario analysis. These technologies can dramatically enhance forecasting precision, operational effectiveness, and decision-making.

Learn how to reduce waste and increase efficiency in your food and beverage supply chain with our Essential Guide. Discover the benefits of supply chain optimization and automation, and gain insights into the best practices for waste reduction in this must-read blog post.

Learn how sustainable supply chains can help businesses become more profitable and customers' choice in the long term and how analytics can help.

Returns management is not just about processing returned items. It's about having a technology-enabled, effective returns process that can minimize the impact of returns on your business while improving customer satisfaction and retention.

Manage your inventory within clicks with Ikigai. With the simple acquisition of our Supply Chain template, data operators can quickly familiarize themselves with our flexible inventory management dashboard. Read how here.

In this blog, we will discuss the role of demand forecasting in effective promotion planning and the significance of promotions in driving demand. We will discuss best practices in forecasting promotions and strategies for managing promotional demand spikes. It'll help you to maximize your promotions' effectiveness and increase your bottom line by the end of this blog.

Due to client demand and intense competition, continuous new product creation is crucial for companies. Such advancements have shortened product life cycles. Therefore supply chain planning should closely monitor product sales to mitigate economic risk. However, firms that make items with a short life cycle find it challenging to forecast and change production plans for such products.

The Time Stone is a myth, but Ikigai is as close as one can get to a tool that helps you forecast the future and uncover all potential scenarios. Business decision-makers need their own Time Stone that is real, effective, and affordable-–enter Ikigai.

Build product prototypes in a low-code environment without a team. Learn more here!

Modern organizations can outrun their competition by enabling their data biz operators to help make data-intensive operational decisions with the ease of spreadsheets.

What are the factors that can help secure your career? We spoke with Devavrat Shah, Andrew and Erna Viterbi Professor of Statistics and AI at MIT, who often teaches business executives about AI.

By viewing data as a graph, Ikigai provides DeepMatch, which attempts to learn the relationship between columns of a dataset and use it to further match rows.

Time series forecasting is the process of analyzing time series data using statistical methods and modeling for predictions that guide decision-making. Let's cover ARIMA, Prophet, and mSSa.

Unlike major companies managed by supply chain professionals, Santa Claus is one individual who has never had a riot-like situation. Not only can he know when you are asleep to deliver at the right time, but he can correctly predict demand to guarantee that everyone receives the Christmas gifts they wish (at least with an impressive hit rate). For this reason, Mr. Claus is regarded as an industry leader in supply chain management.

Predictive analytics is all about getting insights, deriving conclusions, and making grounded decisions with data. It's fast becoming a useful tool for healthcare companies and organizations to identify risks and make better business decisions

Discover how supply chain optimization can help food and beverage manufacturers streamline their operations, reduce costs, improve food safety, and meet customer demand. Our latest blog post explores the benefits of supply chain optimization and strategies for implementing it in the industry.

The world of the global supply chain has transformed drastically post-COVID-19. In supply chain terms, it was a global demand shock followed by a supply shock.

We are excited to evolve Ikigai's platform even further, alongside the Ray and Ray Serve.

A Novel Method that is Revolutionizing Demand Planning. Ikigai makes forecasting on limited data available at scale in a low code manner.

This blog discusses the five top supply chain strategies businesses should consider implementing in 2023. By implementing these strategies, businesses can improve their supply chain operations, adapt to changing market demands, and position themselves for success in the new year.

CTO and co-founder Devavrat Shah chats with Munther Dahleh — the founding director of IDSS at MIT. Listen to their podcast now.

CEO and co-founder Vinayak Ramesh chats with Ashu Garg — GP at Foundation Capital as well as an Ikigai Labs investor and board member.

Treemaps are a great way of visualizing how the individual parts of a hierarchically structured data set make up a whole. Learn how to create one on Ikigai here!

In this blog we will discuss the Importance of Collaboration and Consensus, how can an effective S&OP help foster collaboration & consensus inside and outside the organization, and 9 practical tips for building consensus in S&OP

Ikigai can generate daily purchase orders and send them automatically or after human approval to the desired downstream system. Read more here.

Ikigai utilizes a variety of tools and services to maintain HIPAA compliance in our cloud-native AI platform for data operators. More info here.

Management of supply networks has become significantly more complicated in recent years, driving supply chain professionals to explore AI-powered tools. Read this blog to learn about four innovations to prioritize.

Time series forecasting is critical support for all levels of business strategy, from managing inventory to responding to customer demand. Read this blog to understand the reasons underlying poor forecasting models and take steps to improve their function.

Ikigai organized its first ever case competition on the Ikigai product, which is an end-to-end AI-powered platform for data operations, together with Sardar Vallabhbhai National Institute of Technology.

Time series data has become an important data source in many application domains. Most companies and organizations strongly rely on this data for critical tasks like decision-making, planning, predictions, and analytics in general. While all these tasks generally focus on actual data representing organization and business processes, applying them to alternative scenarios is desirable to prepare for developments that diverge from expectations or assess the robustness of current strategies. This tutorial will describe how to do scenario analysis with time series forecasting.

Through our data connectors, users have access to over 130 sources of data from within the Ikigai platform.

022 Black Friday brought multiple supply chain-related issues, keeping the companies busy and spending higher for the stocks they wanted. In contrast, some ordered too much too early and were left with a higher inventory for liquidation. Nonetheless, there is much more to supply chain preparation for these key holiday seasons than just buying additional stock in advance.

Before companies can get any valuable insights from their data, the data needs to be adequately cleansed, formatted and prepared to be ingested, so as to provide the best possible informational value. In this tutorial you will be going through 6 tips to prepare your data for demand forecasting.

Explore best practices for creating data visualizations. They’ll help you streamline your visualization process, create engaging visualizations, and avoid confused audiences.

You use dashboards every day, whether you realize it or not. In this roundup, you'll learn about eleven cool and unique dashboards, and what made each one special.