Blog

For anyone running Planning Analytics or TM1, the decision to modernize and migrate to TM1 Version 12 (TM1 v12, or PA SaaS) isn’t about taking advantage of new features. It’s about preparing for what breaks along the way. 

Manufacturers are under constant pressure to increase efficiency, reduce waste, and adapt to rapidly shifting demand. Traditional methods of production planning are no longer sufficient. AI-powered manufacturing analytics is emerging as a game-changing solution, helping manufacturers transform data into decisions and drive smarter operations.

Every decision from hiring to tech investment has long-term implications. But few decisions are as foundational as the platform you use to plan. Whether you're forecasting revenue, managing inventory, or aligning sales and operations, the planning platform you choose can either support your growth or stand in its way.

Financial forecasting has always been a delicate balance of data, judgment, and assumptions. Relying on spreadsheets and intuition is no longer enough. To stay competitive, organizations need accurate, agile, and reliable forecastsand that’s where Artificial Intelligence (AI) steps in. 

Spreadsheets are everywhere. They're familiar, flexible, and often the first tool businesses reach for when managing budgets, forecasts, and reports. But as companies grow more complex, spreadsheets start showing their limits—and those limits come at a cost.

Business planning has come a long way from spreadsheet-driven forecasts and static annual budgets. In a world shaped by volatility—from supply chain disruptions and shifting consumer behavior to economic uncertainty—the ability to plan with speed and agility isn’t just a nice-to-have; it’s a competitive advantage.

Integrated Business Planning (IBP) has emerged as a strategic imperative for companies seeking to align finance, operations, and supply chain planning. But IBP itself is evolving. In a world defined by constant disruption, market volatility, and shifting consumer expectations, organizations are recognizing that traditional, monolithic planning systems are no longer enough.

We are proud to announce that QueBIT has successfully achieved SOC 2 Type 1 compliance, underscoring our continued commitment to security, reliability, and trust.

Accurately predicting customer demand has always been a cornerstone of effective business planning. Yet traditional forecasting methods often fall short in today’s fast-changing environment—where shifting customer preferences, supply chain disruptions, and economic volatility are the new norm. That’s where AI-powered demand forecasting comes in. By combining historical data with advanced machine learning algorithms, AI-powered forecasting enables businesses to generate more accurate, dynamic, and actionable forecasts. In this blog, we’ll explore how AI is transforming demand forecasting, the benefits it brings, and what companies need to know to get started.