With the continuing surge in e-commerce, rapid fulfillment and distribution are becoming key to meeting demand and ensuring customer satisfaction.
In traditional shopping, customers enjoy the advantage of physically visiting stores to experience the product. However, the shift to online shopping eliminates this hands-on experience, hence a smooth and rapid order fulfillment process is required to guarantee customer satisfaction. Rapid fulfillment and timely delivery are critical to delivering a better online shopping experience and promptly and effectively satisfying customers' expectations.
According to Morgan Stanley, the e-commerce market could grow from $3.3 trillion today to $5.4 trillion in 2026. In the U.S., e-commerce could go from 23% of sales today to 31% in the same time frame, and Statista noted there are 90 million more digital shoppers today than there were in 2020, most of whom expect on-time delivery.
Last-mile delivery continues to be one of the biggest challenges for enterprises, even as they implement advanced supply chain technologies and tools to meet customers' needs for timely arrival in an efficient manner.
Despite best efforts, online purchases don't always end up where and when they should. One out of 20 orders never makes it to the intended location due to a lack of on-the-ground visibility. That's a problem, especially as 39% of respondents to Oracle's 2021 Retail Consumer Research survey say that unexpected delays constitute a bad shopping experience, and 43% say fast delivery often determines whether they'll place an order.
Getting the Last Mile Right
Because last-mile fulfillment deals with customers directly, it's vital in shaping their view of the entire purchasing experience. For many, it dictates whether the will purchase from a brand again. The last mile is the most costly and time-consuming part of the fulfillment process. Delivery volume fluctuates and ideal routes change, and dwell time and failed deliveries elsewhere contribute to delays.
In addition, logistics managers don't always have the monitoring infrastructure to detect the delays and diversions that lead to an inaccurate ETA. As a result, the purchaser often receives inaccurate information and perceives the process as being inefficient and ineffective.
The recent boom in same-day service has compounded those difficulties. Timely deliveries can be further affected by the availability of dispatchers, drivers, and vehicles, as well as the distance from a fulfillment center.
Improving the Consumer Experience
After the purchase, one of consumers' greatest concerns is their ability to track and receive an order — and for good reason. An efficient last-mile system will manage, track, and schedule deliveries, and as requirements evolve, so too must the technology needed to ensure that orders reach their targets.
Artificial intelligence and machine learning are designed to do that, anticipating needs and constantly adapting to changing environments. They process massive amounts of real-time data to continually optimize routing and vehicle capacities, and process fluctuating demand. These tools can be incorporated into order-management and control-tower systems to eliminate the stresses faced by vendors and consumers in the supply chain's final segment.
Vehicle routing problems are often the largest impediment to on-time delivery, and route optimization is a process that uses AI to determine the fastest and most efficient path for drivers. It considers fleet constraints — for example, electronics and perishables can not be shipped together — and evaluates multiple routes on road conditions to identify which is best. Roadcast's transportation management system that OCMI provides has advanced route optimization functions that consider real-life constraints and requirements.
Real-time routing software (like Roadcast’s TMS that OCIMI is consulting and implementing in the Vietnamese market) is another option that companies can embrace to ensure the timely delivery of goods, especially those that require same-day delivery. Those orders can significantly disrupt scheduled delivery plans, affecting ETAs and escalating costs. Real-time, dynamic, AI-assisted vehicle routing systems can improve delivery efficiency and minimize cost per mile and time spent on the road, thereby reducing fuel costs, wear and tear on the fleet, and greenhouse gas emissions.
Once the routes and means of delivery have been established, integrated order management systems can provide purchasers with data that accurately tells them when their goods will arrive. Such systems can provide direct updates via text messages or push alerts in addition to established tracking numbers, thereby offering consumers real-time updates and ETAs, as well as alerting them of any delays.
As expectations evolve, the focus will remain on improving decision-making capabilities to enable rapid fulfillment and distribution over the last mile. Companies that can't meet consumers' expectations or are relying on antiquated processes risk suffering from increased expenses and a loss of brand loyalty. Digital tools, many of which are powered by AI and ML, are reimagining ways to resolve longstanding last-mile challenges, especially as booming e-commerce transactions place new strains on delivery processes.
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Source: Supply Chain Brain
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