Sponsor: Logility

Reimagine demand planning with an AI-first approach that captures events in real time and creates a language to connect that information to the peaks and valleys of demand. Information is immediately available, routine work is automated, and emotion is replaced by insights. The result? New levels of forecast accuracy, visibility, and speed.

• Reduce forecast error by 10% to 30%
• Decrease work hours to create a plan by up to 60%
• Create a shared digital language

Supply chain professionals now face bigger, more frequent, and more impactful challenges. Whether it’s the explosion of digital channels and evolving customer expectations or historic levels of disruption, today’s reality means that supply chain needs to be much better than “good enough”.

Enter an extraordinary opportunity afforded by AI-powered technologies – supply chain management can be transformed with unprecedented levels of speed and intelligence…

• Complexities continue to grow
• Uncertainty is difficult to manage
• Systems, data, and teams are siloed
• The workforce has changed, and there’s no going back.

Accurate forecasts help companies minimize inventory, maximize production efficiency, streamline purchasing, optimize distribution, maximize customer service, and ensure confidence in their projections. However, developing accurate product forecasts at all stages of a product’s life cycle can be quite challenging.

In the past, supply chain planners used multiple forecasting methods tuned to perform well for different products or varying phases of the product life cycle, chosen to best exploit the available historical data and degree of market knowledge. The key was to pick the most effective and flexible methods and models, blend their best features, and shift between them as needed to keep forecast accuracy at its peak. However, the advent of new technologies and the rising utility of AI has brought in new way of forecasting that includes:

• Ensemble Modeling - Harness the collective knowledge of diverse models for enhanced accuracy, stability, and adaptability
• Driver-Based Forecasting - Identify the main drivers of business and how those drivers affect its revenue, costs, and cash flow
• Demand Sensing - Monitor real time data such as customer orders, consumer sales, inventory in the channel, social sentiment signals or weather to dramatically improve near-future forecast
• Explainable Forecasts - Embrace AI-driven forecasts with GenAI in an understandable way

A robust and successful SCM system that supports sales and operations planning ( S&OP ) is vital for bringing together executives from major operational departments like sales, materials/procurement, manufacturing, transportation, marketing, and finance. Every successful S&OP process requires a strong SCM system with reliable, accurate information. Multiple tasks and analyses must be completed prior to the executive S&OP meeting to make best use of the monthly planning session to speed up the decision-making process. That process includes:

• Demand Review of base-line demand as well as demand sensing and demand shaping activities
• Supply Review of inventory levels and production capabilities Innovation and Strategy Review of the impact of new product introductions (NPIs)
• Financial & Executive Business Review of company financial objectives and ability to stay within working capital constraints and impacts of decisions regarding all major departments.

This white paper provides tips to establish a successful S&OP process that allows teams to confidently make tough decisions like various trade-offs between customer service, inventory investments, production capabilities, supply availability and distribution concerns.

Supply chain planning (SCP) technology leaders can use this Hype Cycle to help transform their SCP capabilities. It is a detailed report on the maturity and viability of various capabilities and underlying technologies that can transform the way planning decisions will be made now and in the future.

As per Gartner:

"Supply chain planning (SCP) finds itself at a strategic inflection point where a persistent VUCA environment meets an unprecedented surge in technology momentum, primarily driven by AI and related emerging technologies including agentic AI, GenAI, and cloud-native architectures and scaling capabilities.

This inflection point requires a focus on digital transformation to gain an edge. Technology leaders who effectively harness this opportunity will transform planning from a reactive chore into a proactive competitive advantage. These leaders will enable organizations to transition from a state of fragility to resilience and antifragility, where they can thrive and gain value relative to their competitors amid uncertainty."

In the 2025 Hype Cycle for Supply Chain Planning Technologies report, you’ll discover three top trends according to Gartner analysts including innovation outlooks, acceleration, and strategies. In addition, this report features a deep dive into each technology with maturity levels, definitions, importance, business impact, drivers, obstacles and user recommendations.

This is one report you can’t miss during your Supply Chain Transformation.

Embrace supply chain volatility to create opportunities

The start of 2025 highlighted the inherent uncertainty in supply chain management, however the rise of AI technologies presents exciting opportunities for supply chain optimization.

On behalf of Logility, Vanson Bourne conducted the Supply Chain Horizons 2025 research to gather insights from 500 decision makers in important global markets.

The results of this exclusive survey explore:

• How you compare to peers in forecast accuracy, OTIF, profitability, and more
• Real-world applications and potential of GenAI
• Challenges supply chain leaders face
• Actionable recommendations and future predictions

Leaders are navigating unprecedented changes with supply chain resilience. Dive deeper into our findings and equip yourself with the knowledge to thrive in 2026 and beyond.

Download the full Supply Chain Horizons 2025 Market Report to discover how leaders are optimizing their supply chains with AI!