Supply Chain and Freight Logistics
Global Agrochemical Company (70 Countries): This company was operating at a low level of strategic planning, resulting in an inflexible logistics network, poor compliance with routing, and large disparate- shipment data sources. It lacked a repeatable freight transportation process and logistics supply-demand matching, which was increasing costs and causing points of inventory starvation and bloating. The results were excessive premium freight costs, costly logistics inefficiencies, and inaccurate supply matching.
With Industry 4.0 goals in mind, A2Go provided a redesign and optimization of the segmented logistics network, along with a Logistics Visual Workbench which supported a single data hub. In addition, a "self-directing" routing-optimization application was built along with a predictive and prescriptive early-warning application to prioritize alerts and notification.
Overall, freight costs were reduced by 38% and premium freight costs by 67%. The early warning system contributed to a reduction of $90M in operating costs. End-to-end logistical operational efficiency improved by 68%.
Freight Routing and Visibility
Global Agricultural Company (29 Countries): This company lacked coordination between transportation and warehousing, the repeatable freight transportation process, and visibility of assets in real time.
A2Go built multiple applications to provide SMART AI, analytics-driven solutions based on an Industry 4.0 model for Premium Freight Authorization, Logistic Supply-Demand Optimization, and a Visual Workbench that supported a single data hub.
Premium freight costs were reduced by 82%; cost-to-deliver was lowered by 54%; and service quality increased by 67%. End-to-end predictive visibility and reporting reduced operating costs by $75M and improved end-to-end logistical operational efficiency by 72%.
Global Agricultural Company (50 Countries): Unable to detect operating variables, anomalies, and non-conformance in real time resulted in the inability to actively control fragmented transactions, mitigate maverick spend, and provide an optimal course of action. In addition, this company was having difficulties detecting data exceptions and translating raw sensory logic into actionable intelligence.
Using SMART digital analytics to provide Industry 4.0 level capabilities, we provided a 360-degree, real-time view of process performance and operations across all divisions via mobile phones and tablets. The company received an intelligent and autonomous process and the ability to prevent operations-failure.
Maverick spend was reduced 94%. Management oversight costs were reduced by 68%. Per-order cost was reduced by 52%, and procurement operational efficiency was improved by 42%.