Using Technology to Solve Last Mile Delivery ChallengesTechnology for last mile delivery & e-commerce omnichannel fulfillment
Essential to today’s e-commerce and omnichannel supply chains across North America, last mile logistics enables shippers to get goods into the hands of impatient consumers using a variety of optional methods and means. The last mile of the supply chain is typically the most costly, problematic and inefficient. Delivering to residential consumers as compared to businesses is inherently less efficient.
Having obsolete inventory in warehousing and storage facility usually results in a drag on productivity.
This is because shipping carriers are typically delivering individual packages, frequently to
No matter the situation, there are challenges in
Retailers are looking for innovative solutions to the home delivery dilemma. Take heart, help is on the way. Technology can play a vital role in streamlining order fulfillment and delivery.
From mobile computing solutions, barcode scanners and barcode readers to sophisticated, agile supply chain software and artificial intelligence, technology can help expedite order fulfillment and deliveries, provide
Whether retailers choose to outsource their needs to a 3PL, traditional shipping
Enhance Supply Chain, Inventory and Order Fulfillment with a Warehouse Management System
Legacy WMS systems, essential for inventory management, were simply not designed to handle the heavy transaction volume experienced today from the huge influx of individual consumer orders. If your company is in the business of processing orders (especially if you are handling last mile delivery), your business would benefit from using a flexible WMS designed to handle fulfillment. This sophisticated functionality enables companies to optimize operations and inventory management when used in combination with RF devices. For enterprise operations, look for
Collaborative B2C Last Mile Delivery Resources in the Gig Economy
Harnessing the Gig Economy Transportation Workforce Via Crowdsourcing Apps
The supply chain logistics network in North America is facing a labor shortage. Today’s
Today, millions of workers create their income stream by working on
- UberRUSH: provides on demand delivery for both small and enterprise businesses. A digital map indicates the location of the delivery partner, enabling visibility throughout the last mile. UberRUSH integrates with popular e-commerce platforms including Clover, Shopify and BigCommerce. The system can be integrated with the checkout flow on the client’s website or app.
- Instacart: designed to be an on-demand grocery home delivery service enabled by crowdsourcing, Instacart enables connections with Personal Shoppers in the needed area to retrieve and delivery groceries to the consumers’ doors. The system relies on crowdsourcing to coordinate orders with the gig workforce.
Use of crowdsourcing for parcel delivery has already made its mark in
Alternative Last Mile Delivery Models Disrupting the Industry
Artificial Intelligence and Last Mile Logistics
Previous iterations involving technology were focused on transactional automation. Today, innovation is focused on cognitive automation, the means of impacting how decisions are made and executed. These AI solutions learn the inner and outer workings of the business. The AI solution then uses this knowledge to make recommendations in real time. It also makes predictions on business outcomes and can facilitate autonomous action.
Highly useful for supply chain networks and last mile logistics, the field of data intelligence has made considerable strides, enabling predictions based on machine learning and simulation to be delivered directly to shippers. This can include use of arrival time windows and confidence intervals. Accurate risk metrics involving potential shipping delays can also be provided.
Because the speed of supply chain operations and last mile logistics have increased noticeably in the past few years, supply chain managers need assistance with optimization and recommendations on a variety of issues. Data science to the rescue! Utilizing algorithms, the AI solutions are able to handle demand-supply chain optimization.
Artificial intelligence solutions learn over time. This increases the level of knowledge, confidence in utilization of data for predictions and recommendations and level of autonomy. The AI system retains records of all alerts, actions and data. Human executives can then review the information. After reviewing the data and AI records, the human executive can decide to make changes, altering factors to achieve a different outcome. This will be incorporated into the machine learning of the AI system, enabling it to adapt to these changes.
Because of the
AI is the next step in the journey towards achieving predictive logistics. Today, 3PLs and other companies that provide transportation and delivery services or supply chain management services, utilize AI to predict the ETA of parcel delivery to the doors of consumers and inland location.
Alternative Transportation and Logistics Methods
Autonomous, Robotic and Drone Delivery Service
Approximately 60% of the cost of deliveries in North America is labor. At the present time, deliveries tend to be limited by the cost, availability
Watch out! Drones and robots are coming. Between partnerships such as that of Mercedes-Benz and Matternet as well as
The robotic package sorting solution organizes the parcels and makes their respective positions
Delivery Robots are on the Way
Yes, you heard correctly. The robots and drones ARE coming. In fact, last mile delivery innovators DoorDash and Postmates have been testing delivery bots developed by the founders of the highly successful communication product, Skype, Starship Technologies. Consumers use a mobile app to request delivery and soon, this six-wheeled autonomous delivery robot brings them their goods.
The Starship Technologies platform engages with specific stores or hubs in order to handle the delivery details.
These self-driving delivery robots are capable of carrying items within a 3 mile radius within 3 to 30 minutes. Able to maneuver around people and objects, the last mile delivery journey can be monitored on a Smartphone. To keep goods secure, the cargo bay section of each delivery robot remains locked throughout transport and can only be opened by the recipient of the delivery.
Thinking Outside the Box of Standard Last Mile Delivery
One of the vexing challenges with last mile delivery of
To help alleviate these challenges, logistics innovators have introduced new ways to help satisfy the needs of both the consumer and the delivery service providers:
Parcel Delivery Lockers
Alternative delivery locations and lockers are already in use by companies including Amazon and United Parcel Service through their UPS Access Point Program. This program makes it easy for consumers to schedule package delivery at an established time to a specific UPS Access Point location for quick retrieval. This provides peace of mind for the consumer, knowing that their parcels are secure and helps meet their scheduling needs. Package drop off is also available at these locations.
Online tracking using the UPS mobile app facilitates independence and helps to relieve consumer concerns.
IoT, RFID, Sensors and Smart Technology Provide Parcel Traceability to the Consumer
From IoT sensors that monitor data including location, fuel consumption and cornering speed in delivery vans to sensors that measure and monitor the temperature of parcels, technology is enabling supply chain executives and consumers to have access to the most expansive array of
The Internet of Things is revolutionizing the supply chain logistics industry and completely altering delivery operations. Supply chain operations are using combinations of technologies including barcodes, RFID, IoT, Bluetooth
Sensors and Smart Technology
With increased interest in traceability and tracking of temperature sensitive items, companies are inserting probes and monitoring devices in the packages themselves. This enables the shipper to know the probe temperature and other factors including humidity at every step of the package delivery journey.
Today, companies such as ParceLive provide peace of mind for supply chain operators and customers. ParceLive is a
Using a postcard-sized device that is inserted into the parcel at the point of distribution, ParceLive uses GPS and has the capability of monitoring data including temperature and light (to see if the package has been opened or not). Ideal for use in tracking high value, fragile and time or temperature sensitive goods, ParceLive offers a subscription service and enables companies to rent devices to reduce the expense and risk of implementing a parcel tracking system.
IoT, RFID and the Seamless Flow of Data for Last Mile Delivery
What is IoT and why is it impacting last mile logistics? According to Gartner’s definition, the Internet of Things (IoT) is “the network of physical objects that contain embedded technology to communicate and sense or interact with their internal states or the external environment”. To be clear, everyday devices are embedded with sensors, network access
IoT devices require much less human control regarding their functioning and can process a huge mass of information. RFID is also being used across the supply chain for a variety of purposes including inventory and asset tracking and has reduced
What is RFID? An RFID system is comprised of electromagnetically responsive RFID tags and RFID readers. Embedded within each RFID tag is unique information. Attaching an RFID tag to an object such as inventory or goods makes it possible to track and monitor placement and movement, making it traceable throughout transport. This has made RFID useful in supply chain logistics, especially for tracking shipping containers, components used in the manufacturing process and for other similar purposes.
RFID tags utilize mini-circuitry which is identifiable by radio waves. As thin as paper labels or as large and cumbersome as a keychain, the size of an RFID tag depends upon the quantity of data strings that the tag can store as well as the distance from which it can be read. Active RFID tags include their own battery power. Some active RFID tags also include sensors.
To be read, an RFID tag does not necessarily require “line of sight” as in the case of barcodes. Instead the readability distance is determined by whether the type of RFID tag is passive or active.
Although RFID readers can be fixed or mobile, Smartphones cannot be used to read RFID tags as they are in the case of barcodes.
Active and passive RFID tags provide data regarding the goods to which they are attached. How can you tell the difference between active and passive RFID tags? Passive RFID tags include an RFID antenna as well as a microchip that stores data. They draw power from the radio waves that are extended by the RFID reader and reflect this back to the readers. The reflected wave is captured by the reader so that the RFID tag and parameters can be identified. Radio waves are reflected, much like a boomerang. This results in erosion of the strength of the radio waves by the time they reach the RFID reader, reducing the readable range to less than 20 feet on average.
The readability range of active RFID tags is typically 100 feet. This is primarily because active RFID tags have batteries incorporated within them. This enables active RFID tags to beam information toward the RFID reader much as you would do in using a Smartphone. One of the most popular uses for active RFID tags are in monitoring high-value cargo, packages, assets and equipment in warehouses, railways and other supply chain facility yards. Because the readability range is greater, there is less need to have as many RFID readers. This helps to reduce the overall cost of using RFID.
With parcel delivery and home delivery challenges ranging from transportation management,
Using these revolutionary technologies including IoT, RFID, AI and more in fulfillment centers, distribution centers and by delivery drivers will help ensure cost, time and labor savings and reduce frustration for both consumers and supply chain operators.
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