Real-time shipment data across different origins, destinations, carrier services, and more enables next-level logistics and supply chain management.
Did you know, 81% of shippers and 86% of 3PLs (Third Party Logistics) providers predict that using data effectively will become “a core competency of their supply chain organizations?” It makes sense — data can inform strategic decision-making in a big way, and in today’s unprecedented supply chain landscape, now is the time to build smart strategies that future-proof operations.
Parcel shipping data in particular will play a big role going forward, and with the right data available, you’ll be able to have real-time insight into your end-to-end logistics and supply chain management processes, regardless of whether you’re shipping from distribution centers or stores, shipping across borders, or shipping with “gig economy” carriers such as Uber and DoorDash.
But how can you get this data? And once you have it, how can you use it?
A multi-carrier parcel shipping system will help aggregate, connect, and standardize your parcel shipping data so teams can make decisions with context and tie parcel shipping operations to your company strategy. And more sophisticated systems will include native Business Intelligence that aggregates and standardizes shipping data across carriers, so you have unprecedented reporting capabilities and a system of record for shipping.
Let’s take a look.
Data Optimizes Parcel Shipping Execution
Real-time visibility into shipment status data across different origins, destinations, regions, carrier services, and shipment characteristics (i.e., package weight and time in transit) offers three essential benefits:
- You can use the data to build a consolidated view of all carriers within your supply chain.
- You can enhance the customer experience with access to the latest shipment status data.
- You can leverage the data to trigger carrier alerts that efficiently identify problem shipments and sub-par carrier services for better decision making.
Ultimately, shipment status data can optimize long-term parcel shipping execution, reducing costs and improving on-time delivery KPIs. For example, if shipment status data reveals a shipment is unable to be delivered due to an in-transit delay resulting from a bad residential address, you can adjust downstream processes to avoid similar problems in the future.
Logistics Data Enables Control Tower Coordination
To better manage customer expectations and help resolve supply chain delivery challenges, advanced multi-carrier shipping systems will offer a Control Tower to monitor shipment status data and provide you with updates on carrier delivery performance, effectively holding carriers accountable and improving on-time delivery.
For example, shipment status data can create an alert in a Control Tower to update a delivery address, provide missing customs data, or advise customers of an in-transit carrier delay. This not only empowers you to manage client delivery expectations when problems occur, but as you solve problems and manage client expectations, you can track and analyze the relevant data points to support future decision-making.
Using shipping status data to fuel a Control Tower provides you with the following benefits:
- You achieve greater visibility of performance against on-time delivery KPIs.
- You can receive actionable delivery event alerts.
- You can automate business-rule-driven processes that improve on-time delivery.
- You improve end-to-end collaboration within your extended supply chain and its partners.
Data Fuels Business Intelligence
The ability to make the right decisions based on shipping data has never been more important, especially considering the challenges of the last year. As you strive to successfully meet the demands of today’s and tomorrow’s consumers, you must harness and leverage your shipping data to identify and gain control of parcel shipping opportunities.
Business Intelligence interprets your data from various sources and gives you the ability to:
- Easily consolidate all shipping data from multiple sources
- Automatically compute this data and report against chosen thresholds, KPIs, and business rules
- Filter the data to glean deeper insights
- Take quick action when shipping performance doesn’t meet set thresholds
With Business Intelligence, you can use your data to achieve a new level of operational veracity within your business, predicting, sharing, and delivering on key performance indicators across complex distribution scenarios. Examples of the data you can analyze in a Business Intelligence platform include:
- Execution-based data. Analyze quantitative data, such as shipment cost, carrier service levels, carton dimensions, carton weight, carton counts, carton origins, and carton destinations.
- Track & Trace data. Analyze delivery status messages for each tracking number from the point of shipment manifest through delivery and, in the case of returns, back again. Business Intelligence leverages these messages to efficiently identify problems or patterns to address. Examples include problems related to geography, carriers, or even shipment characteristics.
- Control Tower data. Analyze alerts and internal performance solving these problems. Data ties back to carrier and service level performance, issue frequency, employee performance, and associated factors.
Business Intelligence creates a unified source of truth that analyzes KPIs and creates visuals, custom reports, and analyses. Built to measure performance against your own business rules, Business Intelligence provides you with an easy way to visualize the masses of shipping data you have in your system for meaningful interpretation. You can receive early warnings about supply chain disruptions and uncover surprising new ways to improve your supply chain.
With a partner like Logistyx, you have the sophisticated technology you need to aggregate shipping data and gain easy insights on how to best delight your customers and meet your business goals.