Companies are moving beyond basic shipment tracking as supply chain leaders call for systems that can read live data, flag risks early, and support faster decisions, especially for inbound freight and cross-border trade, discussions at Manila Horizon 2026 showed. The forum was hosted by AI-first supply chain automation partner GoComet.
The Philippines plays a dual role as a consumption-driven market and a key import hub. This exposes local supply chains to port congestion, fragmented logistics networks, and global disruptions that can quickly affect domestic operations.
“Visibility tells you where things are. Intelligence tells you what to do next,” said Chitransh Sahai, co-founder and CEO of GoComet. “AI helps supply chains move from reacting late to planning early, which is where real resilience is built.”
Discussions focused on the shift from visibility-led supply chains to intelligence-led models, where data, automation, and human judgment work together. Speakers noted that artificial intelligence (AI) is increasingly used to support, not replace, human decision-making.
Sahai said AI systems can handle monitoring, exception alerts, and data consolidation, allowing teams to focus on planning, supplier coordination, and risk scenarios.
“Technology only creates impact when it fits naturally into how teams work,” Sahai said. “The goal isn’t more dashboards, it’s fewer surprises,” he added.
According to GoComet, this approach is gaining interest among Philippine enterprises looking to modernize operations without adding new layers of complexity.
The company has operated in the Philippines since August 2021 and reports steady growth in the market. The country now represents close to 20% of the company’s Southeast Asia customer base, showing interest in data-driven supply chain tools.
At the forum, Sahai introduced GoComet’s next phase of supply chain intelligence, which moves from automated workflows toward more autonomous logistics operations. He presented the company’s AI Centre, which combines multiple AI systems to support planning, execution, and risk management.
Highlighted tools included Incident Lens, which links port, weather, and geopolitical data to shipments, and Viera, a conversational AI that allows teams to ask questions using everyday language. These tools aim to turn large volumes of logistics data into clearer, prioritized actions for day-to-day operations.