AI for demand forecasting
How AI improves demand forecasting: machine learning, demand sensing, external signals. The latest articles and real-world cases, sorted every week.
Demand forecasting is one of the earliest uses of AI in supply chain, and one of the most mature. Machine learning models complement classical statistical methods by using more signals: promotions, prices, weather, store sales, online trends.
The point is not only to gain a few points of accuracy. A finer, more frequent forecast (demand sensing) lets companies adjust inventory, production and transport earlier. Projects mostly stumble on data quality and on adoption by planners, who need to understand a forecast before they trust it.
Latest articles on this topic
List updated continuously by the SmartSupplyAI watch.
Evaluating agentic AI for demand forecasting — October 1, 2026, techtarget.com
The article explains how agentic AI can overcome the limitations of traditional statistical demand forecasting models when demand is unstable, unreliable or disrupted by climate, geopolitical and economic factors. It…
LG Uplus, Sodomall team up to develop AI solutions for small businesses — September 22, 2026, koreatimes.co.kr
LG Uplus has signed a memorandum of understanding with distribution platform Sodomall to jointly develop AI transformation solutions for small business owners in Korea. The partners will combine LG Uplus' telecom and…
Arc'teryx Embeds AI-Enabled End-to-End Planning — September 8, 2026, consumergoods.com
Arc'teryx is overhauling its digital planning processes, moving toward data-led, consumer-centric operations as it scales across direct-to-consumer and wholesale channels. Working with enterprise AI company o9, the…
From planners to orchestrators: The rise of AI-driven planning in retail — August 17, 2026, insideretail.com.au
Retail planning is evolving from reactive spreadsheet-based processes to AI-driven multi-agent orchestration. The article explores how multi-agent AI systems can compress re-planning cycles, enable real-time scenario…
Impact Analytics Honored as 2026 "Demand Forecasting Solution of the Year” for the Second Consecutive Year, by SupplyTech Breakthrough — June 11, 2026, manilatimes.net
Impact Analytics has been awarded the "Demand Forecasting Solution of the Year" for the second consecutive year by SupplyTech Breakthrough for its AI-native platform ForecastSmart. The engine evaluates over one million…
AWS Launches AI Apps for Supply Chain Forecasting and Hiring — April 30, 2026, supplychainbrain.com
Amazon Web Services has introduced two new agentic AI products, Connect Decisions and Connect Talent, to help companies manage supply chain disruptions and streamline hiring processes. Connect Decisions identifies…
Retailers lag on AI as leaders widen performance gap — April 30, 2026, itbrief.co.uk
A global study by Anaplan, Incisiv and World Retail Congress reveals a widening performance gap between AI-adopting retail leaders and the broader sector. Leaders achieve 71% full-price sell-through versus a 57%…
Manufacturing delays are caused by poor execution, not bad forecasting — April 9, 2026, finance.yahoo.com
A study by LeanDNA reveals that manufacturing disruptions are primarily caused by poor execution at the factory level rather than faulty demand forecasting. Despite heavy investments in forecasting tools, manufacturers…
Aptean Brings Agentic AI to Supply Chain Planning with Logility DemandAI+ on Aptean AppCentral — April 7, 2026, globenewswire.com
Aptean has released Logility DemandAI+ on its AppCentral platform, bringing agentic AI to supply chain planning. The solution features prebuilt AI agents that improve forecast accuracy, detect trends, and provide…
Hormel modernizes supply chain with AI planning platform — April 6, 2026, supplychaindive.com
Hormel Foods has implemented o9's AI-powered forecasting platform to enhance demand prediction and supply chain operations across more than 70 sites. The system helps model key demand drivers, reduce manual overrides…
Supply Chain and Logistics News March 23rd-26th 2026 — March 27, 2026, logisticsviewpoints.com
This week's logistics news highlights major industry developments including the launch of Velotic as an independent industrial software company integrating Proficy, Kepware, and ThingWorx platforms. Walmart secures AI…
The future of forecast value add: An expert’s AI agent framework transforming e-commerce forecasting — March 23, 2026, scmr.com
The article explores the rising complexity of AI-driven forecasting in supply chain planning, emphasizing the importance of forecast value add (FVA) to measure true performance gains. It highlights the operational…
Watch: How AI Is Transforming Demand Planning at Bayer — March 18, 2026, supplychainbrain.com
Bayer has implemented an AI-powered demand-planning tool from OMP to improve forecasting accuracy and create touchless planning processes. The company customized the platform to leverage real-time retailer consumption…
The 2026 Playbook: FBA Prep Services, AI Forecasting, and Greener 3PL Operations — March 5, 2026, impakter.com
The article outlines how e-commerce operations in 2026 will rely on specialized logistics partners integrating AI-driven inventory forecasting, automated FBA prep services, and sustainable 3PL practices. It details ten…
Sales and supply chain under control: how AI helps with planning with SAP — March 1, 2026, kpmg.com
The article explains how AI-powered demand forecasting integrated with SAP Integrated Business Planning (IBP) significantly improves supply chain management. Companies can achieve forecast accuracy up to 99% by…
AI and Proximity: the Future of Retail Supply Chains — February 6, 2026, indexbox.io
Experts highlight that consumer proximity to distribution networks provides a competitive edge in AI-driven retail environments, with convenience and speed remaining crucial delivery factors. AI service providers like…
AI-Driven Demand Forecasting: The Game-Changer for Seasonal Supply Chains — February 4, 2026, globaltrademag.com
AI-driven demand forecasting is transforming seasonal supply chains by using machine learning algorithms to analyze real-time data from multiple sources, enabling more accurate predictions of fluctuating demand. This…
How AI Ecosystems Could Transform Pharma Demand and Crisis Response — February 4, 2026, pharmaceuticalcommerce.com
Supply chain expert Joe Hudicka discusses how real-time AI signal sharing across supply chain partners can help pharmaceutical companies anticipate demand shifts, reduce shortages, and respond faster to pandemics and…
Why retail planning is moving beyond seasonal forecasts — January 26, 2026, scmr.com
Retailers are shifting from traditional seasonal planning to integrated, AI-driven decision frameworks that blend long-range plans with real-time demand sensing. The focus is moving from forecast accuracy to decision…
Supply Chain Analytics Market: Real-Time Insights, Demand Forecasting & Expansion — January 6, 2026, aimagazine.com
The global supply chain analytics market reached USD 9.39 billion in 2024 and is projected to grow to USD 32.27 billion by 2033, driven by AI-powered solutions. AI is transforming supply chain operations through…
AI-driven logistics helps e-commerce firms balance speed, resilience and sustainability — January 2, 2026, devdiscourse.com
A new academic study published in Sustainability journal demonstrates that AI-driven demand forecasting significantly improves accuracy in e-commerce supply chains, enabling firms to better align inventory with actual…
Predictive AI Supply Chain Forecasting Market: From Historical Hindsight to Real-Time Foresight — January 2, 2026, openpr.com
The Predictive AI Supply Chain Forecasting Market is transforming supply chain management by moving beyond traditional spreadsheets and statistical models to advanced Machine Learning algorithms that analyze vast…
Integrating private LLMs and ensemble forecasting — December 30, 2025, scmr.com
TVS Motor Company implemented a secure, locally hosted private large language model alongside a multi-model ensemble forecasting engine to improve parts availability forecasting. The system generates role-specific…
From Intuition to Intelligence: How AI and a Similarity Matrix Are Redefining Retail Planning — December 29, 2025, aijourn.com
The article discusses how AI is transforming retail planning by replacing manual spreadsheet processes with automated solutions that analyze millions of data points. It highlights specific applications like demand…
How AI and Algorithms Are Quietly Rewriting the Global Fashion Supply Chain — December 23, 2025, inkl.com
AI and algorithms are transforming the fashion supply chain by converting social media trends and search data into real-time production signals, enabling faster response to demand. This data-driven approach allows for…
Industry 4.0 Exposes Gap Between Retailers and Manufacturers — December 20, 2025, sdcexec.com
Industry 4.0 technologies like AI and IoT are exposing critical disconnects between retailers and manufacturers, particularly in demand forecasting and inventory management. The article highlights how misaligned data…
AI in Demand Forecasting: Overview, Use Cases, and Benefits — December 18, 2025, oracle.com
This article explores the application of AI in demand forecasting, highlighting how machine learning and predictive analytics improve forecast accuracy by analyzing diverse internal and external data. It details…
HANSSAK develops AI demand forecasting solution for South Korea army logistics — December 17, 2025, biz.chosun.com
HANSSAK has completed development of an AI requirement estimation solution for the South Korean Army Logistics Command, applying artificial intelligence to logistics operations to improve efficiency and decision-making…
How AI-Driven Forecasting Is Transforming International Logistics — December 8, 2025, globaltrademag.com
AI-driven forecasting is revolutionizing international logistics by shifting from reactive to predictive management, enabling companies to anticipate disruptions and optimize operations. The technology enhances demand…
What's Shaping Holiday Supply Chain Strategies? — November 25, 2025, vogue.com
As the 2025 holiday season approaches, retailers face value-conscious consumers and economic uncertainty, requiring sophisticated supply chain strategies. Tariff pressures have forced early inventory planning, while AI…
Frequently asked questions
Does AI replace statistical forecasting methods?
Rarely. In most deployments, machine learning models are combined with statistical methods, and the best model is selected per product or per horizon. AI helps most on highly variable products, promotions and new items.
What data does AI forecasting need?
At minimum a clean and sufficiently long sales history, then explanatory data: prices, promotions, calendar, past stockouts. External signals (weather, trends) only add value once these foundations are reliable.
What is demand sensing?
A very short-term forecast, recalculated daily or close to it from the most recent signals (point-of-sale data, orders, store inventory), to correct the longer-term plan.
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