EasyPost Analytics is the retail industry’s first analytics as a service platform that improves business performance with actionable insights developed by industry experts. Our prebuilt analytics modules integrate quickly with your company’s sales, inventory, orders, shipments, and financial data so your team can make better business decisions.
Gain access to all the essential data you need to run your supply chain and operations on a cloud-hosted data platform with no internal monitoring requirements and very little integration time (4 – 6 weeks on average).
Go from summary level to order/line level quickly and easily with our solution that allows both intra-day monitoring and alerting as well as trend analysis.
Receive the level of granularity, near-live data frequency, and additional integrations you need to support smooth omnichannel operations with no need to modify your existing supply chain analytics tooling.
Get a tool with pre-mapped and predefined core metrics, calculations and KPIs and prebuilt supply chain dashboards, so your team only needs to focus on taking action.
We have more than 50 technology connectors, meaning your data can be available on the EasyPost Analytics platform within weeks.
What is supply chain analytics?
Supply chain analytics from an ecommerce service perspective refers to the use of data-driven insights and analysis to optimize and streamline the end-to-end processes of managing inventory, orders, shipments, and delivery, ultimately enhancing efficiency and customer satisfaction.
What are the benefits of supply chain analytics?
The benefits of supply chain analytics include identifying bottlenecks, optimizing inventory levels, improving order fulfillment efficiency, reducing shipping delays, and enhancing overall operational performance, leading to increased customer satisfaction and higher profitability.
Why is analytics important in supply chain management?
Analytics provide real-time insights into inventory levels, demand patterns, and order processing to optimize stock availability and reduce stockouts. As an essential element of data-driven decision-making, analytics not only helps to identify inefficiencies but also streamlines logistics and enhances the customer experience. Leveraging supply chain analytics leads to improved forecasting accuracy, thus enabling more effective resource allocation and cost optimization throughout the entire supply chain.
What are the types of supply chain analytics?
Supply chain analytics can be categorized into four primary types: descriptive, predictive, prescriptive, and cognitive. Descriptive analytics focuses on analyzing historical data to understand what has happened in the past. Predictive analytics uses statistical algorithms and machine learning techniques to interpret current data and predict future outcomes. Prescriptive analytics goes a step further by recommending specific actions that can be taken to achieve particular objectives or solve problems. Cognitive analytics utilizes artificial intelligence and natural language processing to enable more complex decision-making by understanding, reasoning, and interpreting vast amounts of data.
Our services are designed to help you leverage these different types of analytics throughout your operations, enhancing efficiency and decision-making within your supply chain.