Featured Resources

Managing working capital effectively requires daily data-driven decisions. Learn how Yojak, a fast-growing marketplace, is using Ikigai to increase accuracy of working capital deployment by 60% while reducing processing time from four to a single day.

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

We surveyed supply chain operations and technology leaders in retail and manufacturing about their utilization of supply chain technology. Read this report to benchmark the level of digitalization of your organization’s supply chain and consider some course-corrective suggestions.

Intelligent demand and order planning starts from a clean data pipeline and an accurate demand forecast. Explore how Ikigai enables supply chain leaders to achieve their goals with state-of-the-art solutions for data preparation and SKU-level predictive analytics.

Read this guide for supply chain leaders and learn how you can harness uncertainty and minimize stockouts

Read this brochure to find out how DeepCasting overcomes issues related to the lack of historical data and can help produce more accurate forecasts without data science knowledge.

Digitalization is an important step towards overcoming the challenges of demand forecasting. Digitalizing data collection makes it easier to harmonize and unify diverse data sources, and machine learning and AI technology make the job easier. But, more importantly, they streamline processes necessary for forecasting supply chain trends.

Inventory cost and more predictability are the goals of better forecasting but pose a significant challenge at a SKU level.

Making data-driven decisions is not always possible, and throwing more bodies at the problem is not going to solve it

Ikigai enables you to turn actionable insights into insightful actions. Learn how.

With the growth of data, data analytics is becoming more complex than ever. Read this report to find out how new tools help overcome issues with data preparation issues as well as can help produce deeper and more accurate analysis with no coding or data science knowledge.

Read this case study to learn how Hitch, a ride-sharing app, uses Ikigai to empower all teams to be data-driven while freeing up engineering resources.

The benefits of using AI for demand forecasting are undeniable. Get the infographic to learn about some of them.