How project44's Product Managers Are Building AI Agents for Logistics

Why It Matters project44 unveiled new AI agents designed to speed up supply chain decision-making at its Decision44 customer event. These tools aim to eliminate delays in the Truth-Decision-Action sequence that keeps logistics operations reactive rather than proactive. Mo: The Supply Chain Analyst Nimrit Vest, a Staff Product Manager with four years at project44, leads development of Mo, a chatbot that analyzes your company's actual supply chain data instead of just searching the web. The tool is still in preproduction but shows promise for solving complex problems like chargeback disputes with retailers - determining exactly where delays occurred and who was responsible. Building the Foundation Project44's AI success depends on data normalization work happening behind the scenes. Vest's team of three senior engineers (plus 24/7 coding agents) built layers of capability into Mo, teaching it to understand project44 data fields and reason beyond standard language models. The system incorporates customized context modules with customer SOPs and business rules. Key Details Vest's approach includes converting operational documents into 'skill files' that give Mo contextual intelligence. Context windows limit how much information fits simultaneously, so the team carefully selects and attaches modules to specific workflows. Project44 encourages teams to experiment with new tools and share learnings across the organization, accelerating development cycles.