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Doft in PressFebruary 24, 2023· 3 min read

Optimizing Delivery Logistics in an Economic Downturn

Optimizing delivery logistics in an economic downturn

The global supply chain has taken a beating in recent years, and economic uncertainty adds more pressure on logistics. But businesses need not panic. By revolutionizing logistics with machine learning (ML) and artificial intelligence (AI), companies can choose to optimize rather than simply reduce, enhancing customer satisfaction along the way.

During the boom in online shopping, the trucking industry expanded rapidly. Smaller companies relied on truckers in the spot market, the one-time, uncontracted shipping arrangements priced at market value, and a wave of new carriers entered. As shopping habits shifted again, the market became saturated with drivers chasing less freight, pushing spot rates down and squeezing many smaller carriers. With the right tools, companies can navigate that volatility instead of being run over by it.

Optimizing vs. Cost Cutting

When the economy slows, the instinct is to cut back. That's often wise for consumers, but it isn't always the smartest move for businesses. Avoiding the knee-jerk response of major cutbacks is essential.

By focusing on optimization, you future-proof your business and provide a better customer experience. Concentrating on retention and delivering reliable, high-quality service builds loyalty that outlasts a downturn. Since word-of-mouth drives far more sales than paid marketing, investing in quality service helps sustain cash flow.

Many industry leaders have realized the benefits of optimization outweigh the urge to cut back. As one trucking CEO noted, customers keep re-sorting their supply-chain position to achieve their goals more effectively. So what solutions are available to optimize logistics?

Last-Mile Delivery Optimization

Implementing AI in a company's logistics can transform daily operations while saving money. Last-mile planning is significant to both customers and shippers, as it can make or break a company. Studies show a majority of customers won't order again if a package arrives late, and last-mile delivery accounts for a large share of total shipping costs. Getting it right saves money and earns repeat business.

AI-powered technology with algorithms that monitor traffic, weather, origins, and destinations gives drivers the most efficient route, minimizing journey time and fuel waste. That optimizes asset usage, improves working conditions, and reduces costs, and live updates let providers share accurate information with customers.

One easy way to access these benefits is through a digital brokerage like Doft. Digital brokers supply tracking that benefits shippers and customers, providing the shipment's route and an estimated arrival time. Shippers can also choose drivers with strong ratings, so they know their freight is in good hands.

A Connected Digital Freight Network

When spot rates fall, more retailers turn to digital brokerages over contracted freight. A digital brokerage can be beneficial no matter your company's size. Small businesses with low or irregular volume can use a brokerage to save substantially compared with rigid freight contracts. Larger companies with extra drivers and assets can broker their services at spot rates to optimize vehicle usage.

Many digital broker apps have ML capabilities that monitor performance and make money-saving recommendations. Depending on the volume of freight, AI can make real-time decisions and allocate vehicles to match order size. Automating these decisions removes the risk of human error and handles complex choices in seconds.

Working Toward a Sustainable Future

Sustainability and optimization go hand in hand, especially with ML technology. Many customers say they prefer to buy from companies that care about their environmental impact, so greener choices help keep customers satisfied.

Electric vehicles (EVs) are becoming popular among logistics companies thanks to lower running costs, with substantial savings possible over a vehicle's lifespan. The downside is the higher upfront investment, but as initial costs fall and public charging infrastructure expands, wider use of logistics EVs looks increasingly realistic.

A less costly green practice is implementing AI-powered chatbots. Many consumers would rather use an AI chatbot than wait for a human agent. Chatbots help companies optimize customer service and reduce office overhead, and digitizing office systems cuts a business's paper use and carbon footprint.

Economic downturns are a normal phase of the financial cycle. Rather than making quick, cost-reducing decisions, companies should prioritize optimization, especially in the supply chain. By using digital brokerages and AI-powered technology, businesses can keep prospering while earning high customer satisfaction.

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