![]() ![]() It can automatically notify the buyer of the anticipated restocking date and extend the option of changing the order or waiting. AI has the potential to reduce slack in those links and keep supply chain actors like transporters, suppliers, and purchasers synchronized with automatic prediction and decision making.ĪI can anticipate the date by which a supplier will run out of a product by working with production and inventory data. Automating arrival notifications to reduce wait time for drop-offĮvery supply chain invites inefficiency simply by the nature of cumulative links. ![]() Scheduling maintenance to preserve fuel economy.Notifying business partners of delays well in advance.Ensuring loads are complete, both outbound and on the return journey.Checking that human drivers are operating within legal guidelines.For example, in freight operations, the more data you can harvest and the more variables you can identify, the more inefficiency you can find.ĪI can improve transportation management by: Occupancy rate - Between any two points, a single vehicle can usually transport people and goods more efficiently than multiple vehicles.ĪI has a role to play in transportation management by helping to consolidate transportation data from numerous sources and applying analytics that reveals inefficiency. The choice pits an energy budget against a financial budget. Mode of transport - Trains are generally more fuel-efficient than planes or trucks.Fuel-efficiency - newer, more-efficient vehicles use less fuel to deliver the same load.Innovative companies focus on the main factors behind energy efficiency in transportation and act on them: is becoming less efficient while most other sectors of the economy are becoming more efficient. In moving both passengers and freight, the transportation sector in the U.S. Either automatically or with human intervention, you can postpone charging your electric fleet and switch to a different energy source. Suppose that, based on real-time meteorological data, your models predict a sharp decrease in your rooftop solar generation for the next three days. You can apply AI to help with energy forecasting and storage in innovative grid management. If your energy strategy includes renewables like solar and wind, you’ll have to factor in their unpredictable nature. Using temperature data recorded in its data centers, the company applied AI and predictive analytics to control air conditioning. You can identify energy-intensive operations and times of peak load, then spread those operations to off-peak hours.įor example, Google reduced energy for cooling its data centers by 40%, thanks to the IoT and artificial intelligence from its DeepMind project. Use AI to help consolidate your utility bills and analyze how you use energy. We examine four real-world areas where businesses can use AI to find ways to cut their energy consumption and dramatically reduce their energy costs. Those insights enable you to take steps to reduce energy waste, operate with greater energy efficiency, and monitor the effects of your actions. Then, you can apply AI to uncover insights into where and why waste is happening. Bringing multiple streams into a single one is how you collect enough data for the truly robust modeling and optimization needed to address the problem of wasted energy. You can connect to data on your energy usage using automation and analytics, even when it’s siloed in different company areas and other formats. Because it’s big money, energy-intensive companies try to reduce consumption with techniques like buying more efficient machines or turning the lights off at the end of the day.īut what if companies like yours could use artificial intelligence (AI) to reduce energy consumption? What if you could use automation and advanced analytics to help uncover ways to become more energy-efficient in areas it never occurred to you to look before? Applying AI and analytics to minimize wasted energy With end-use efficiency estimated at 65% for retail, 49% for industrial, and only 21% for transportation, your business is probably wasting at least a third of the energy it pays for.Įnergy is a perennial source of overlooked costs for companies with manufacturing facilities, complex supply chains, and numerous locations. You can’t know how much, but it could be quite a lot depending on your sector. But how much power does your business waste? ![]() How much energy can your business afford to waste? Companies can lead the way in reducing wasted energy, and AI can help them. We are looking for an experienced Marketing Manager to develop and manage marketing programs in specific channels, support business objectives, lead acquisition, foster customer retention, execute business development, provide sales support, and advance brand building.“Can Our Company Use AI to Lower Our Energy Consumption?” ![]()
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