Artificial intelligence is changing supply chain software, but its greatest value comes from helping planners make faster, better-informed decisions rather than replacing them. In this roadmap session, AGR Chief Product Officer Sigrún Gunnhildardóttir shares how AI, automation, and new product capabilities are being built into AGR to create more intelligent, transparent, and collaborative inventory planning. From proactive insights and new item forecasting to conversational AI and future integrations, this session offers a practical look at where inventory optimisation is heading and how AGR customers can prepare for it.
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Building the Intelligent Supply Chain with AI
Artificial intelligence is transforming inventory optimisation, but its real value lies in helping people make better decisions, not replacing them. In this keynote, AGR Chief Product Officer Sigrún Gunnhildardóttir shares how the AGR product roadmap is evolving to embed AI throughout the platform while maintaining transparency, trust, and user control.
The session explores upcoming innovations including intelligent item analysis, AI-powered new item forecasting, explainable recommendations, smarter automation, conversational AI, and open integrations that allow businesses to work with AGR wherever they are. Throughout the presentation, Sigrún explains how these capabilities are designed to reduce manual work while giving planners greater confidence in every decision.
Whether you are exploring AI for the first time or looking to understand where inventory optimisation technology is heading, this roadmap provides a practical view of how intelligent supply chains are becoming a reality.
Sigrún Gunnhildardóttir leads the product strategy and roadmap for the company’s inventory optimisation platform. With a background in AI, product management, and supply chain technology, she focuses on building intelligent software that helps planners make faster, more confident decisions while keeping people at the centre of the process.
AI-driven inventory management uses machine-learning models to forecast demand at SKU level, detect anomalies in sales history, and propose replenishment orders that planners can approve in one click. In AGR, AI runs continuously on ERP sales and stock data and surfaces only the exceptions that need human attention.
Automation executes rules you already defined — for example, auto-generating a purchase order when stock hits a reorder point. AI improves the rules themselves: it learns seasonality, promotions and supplier lead-time variability from historical data and updates forecasts and safety stock without manual tuning.
Most AGR SaaS customers go live in 4–8 weeks. The standardised data model and prebuilt ERP connectors (Microsoft Dynamics 365 Business Central, NAV, SAP, NetSuite, Sage, IFS, Jeeves) remove the multi-month integration work typical of legacy supply-chain tools.
AGR has prebuilt, supported connectors for Microsoft Dynamics 365 Business Central, Dynamics NAV, SAP, NetSuite, Sage, Visma, IFS and Jeeves. Other ERPs connect via REST API or flat-file integration.
Across AGR’s customer base, companies typically reduce inventory holding by up to 11% and cut stockouts by up to 40% within the first 12 months — based on AGR customer benchmark data, 2025.
Yes. AGR is used by 400+ companies across wholesale distribution, specialty and FMCG retail, and manufacturing with raw-material and finished-goods planning. The same forecasting and ordering engine adapts to each vertical via configuration, not custom code.
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