AI is changing supply chain planning, but not by replacing people. In this session, Halla explores how AI helps planners navigate increasing complexity, process more information, and spend less time on repetitive tasks. Discover why the future of inventory optimisation is about combining intelligent technology with human expertise to build more resilient, adaptable supply chains
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AI that Helps People make Better Decisions
Artificial intelligence is transforming supply chain management, but its greatest value is not making decisions for people. It is helping them make better ones.
In this session, Halla, Head of Integrations at AGR, explains how AI can help inventory and supply chain teams manage growing complexity without adding more work. As supply chains become more dynamic and data volumes continue to increase, planners need tools that help them process information, identify what matters, and focus on the decisions that create value.
Rather than promising perfect predictions, Halla presents a practical view of AI as a tool for navigating uncertainty. She also shares how AGR has applied AI internally to accelerate customer onboarding, simplify integrations, and deliver faster value while keeping people firmly at the centre of the decision-making process.
Halla is Head of Integrations at AGR, where she leads the development of scalable integration and automation solutions that help customers realise value faster. With a background in engineering and Human-Centred AI, she is passionate about applying AI in practical ways that simplify complexity, accelerate innovation, and support better business decisions.
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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