SNCNEXT: De-Risking the Supplier Network

For far too long, geopolitical trade wars, trucker strikes, and natural disasters have been stifling supply chain operations. More recently, the pandemic has worsened the situation— making it difficult for manufacturers and distributors to get things from A to B. The solution then lies within the vast potential of big data, machine learning, AI, and predictive analytics, which can identify and mitigate threats within their supplier network. This is precisely where SNCNEXT makes a world of difference by leveraging these technologies to build reliable and robust supply networks for clients. "We offer clients a 360-degree view of their supply networks and state-of-the-art tools to help them become more proactive in preventing and mitigating their risks," mentions Laury DiMarco, Co-Founder and Managing Partner, SNCNEXT.

SNCNEXT's tools provide clients with the right analytics pertaining to their supply chain, enabling businesses to identify problems before they occur. The company also focuses on remediation by designing effective action plans based on the available information via its proprietary shop floor workbench. It helps clients dynamically control the factory floor, measure productivity, assess effectiveness, and respond to evolving production and customer requirements. Further, SNCNEXT equips its suppliers with all the data and reports they require to gauge potential weak points. Businesses can thus better collaborate with suppliers and work in areas of cost management, process improvement, and product or service innovation. This is also important for businesses that seek to maintain compliance with the supplier base and meet stringent legal and audit requirements. SNCNEXT's solutions are also ERP agnostic, requiring no additional investments while working with its solutions. "There is also no licensing requirement to use our tools. Businesses can even test drive our tools for 30 days before making any type of commitment," adds DiMarco.

SNCNEXT's robust solutions have enabled several businesses to streamline their supply chain operations by making critical data-driven decisions.