FarEye today announced Analyze, which infuses big data analytics into a single platform so companies can visualize and improve upon critical key performance indicators (KPIs) throughout the delivery execution process. FarEye Analyze provides a dashboard view to visualize operational data, measure and monitor key trends, track industry-standard KPIs and unlock critical actionable insights leading to performance improvements, delivery predictability and reliability, and capacity efficiencies.
“Infusing big data analytics directly into the FarEye platform eliminates the need for a separate tool, and removes complexity in trying to integrate disparate data sources together to get a single view of operational and delivery performance,” said Kushal Nahata, CEO and co-founder, FarEye. “Analyze provides a customized, real-time view of their delivery operations, so they can understand the ‘why’ behind their data to make actionable decisions that will reduce cost-to-deliver, increase delivery efficiency and performance, and provide one view of the health of their last-mile deliveries.”
FarEye Analyze is part of the FarEye product portfolio, aligned to the complete order-to-door delivery journey: Ship, Track, Route, Execute, Experience, and now, Analyze.
“Today’s customer wants to order anything from anywhere and have it delivered anywhere, thus the last mile of the omnichannel journey has become one of the most complex and expensive for retailers and brands. To compete in this environment, businesses need to offer wonderful delivery experiences that meet customer expectations while ensuring their own ability to remain profitable and sustainable,” said Jordan K. Speer, Research Director, IDC Retail Insights. “With a solution such as FarEye’s, which has now embedded a data analytics solution into its delivery logistics platform, users from C-suite to dispatch can gain the insights they need into the health of last-mile delivery operations through dashboards that bring together key metrics in one place. This visibility provides insights that are often lost when data is housed in different systems, allowing retailers and brands to act tactically and strategically, responding to in-the-moment disruptions while also learning over time to continually improve their models around overall delivery logistics and customer experiences.”
