Case Study: Supply Chain Intelligence
Ai DataYard has had the privilege of collaborating with the supply chain industry to modernize traditional practices through data-driven decision-making. This approach results in less biased and more accurate predictions of future trends. Below is a case study detailing our solution for the supply chain sector.
𝐓𝐡𝐞 𝐂𝐨𝐬𝐭 𝐨𝐟 𝐆𝐮𝐞𝐬𝐬𝐰𝐨𝐫𝐤 𝐢𝐧 𝐆𝐚𝐬𝐨𝐥𝐢𝐧𝐞 𝐒𝐮𝐩𝐩𝐥𝐲
In the gasoline supply chain, guessing and uncertainty lead to many problems. Every year, millions of liters of gasoline are wasted because of incorrect demand predictions. This waste costs companies a lot of money and harms the environment. Without accurate demand forecasts, companies often have too much gasoline in some places and not enough in others. This creates waste and increases costs for storage and transportation.
𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐒𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭: 𝐓𝐡𝐞 𝐍𝐞𝐞𝐝 𝐟𝐨𝐫 𝐁𝐞𝐭𝐭𝐞𝐫 𝐃𝐞𝐦𝐚𝐧𝐝 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭
The main problem in the gasoline supply chain is the lack of a proactive approach to managing supply and predicting demand. Traditional methods rely on old data and guessing, which do not account for real-time changes in the market. This approach often results in either too much or too little gasoline, leading to wasted fuel and higher transportation costs. Companies cannot effectively plan their supply routes or inventory levels without knowing where the demand will be highest. This inefficiency costs money and prevents companies from improving their operations.
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𝐎𝐮𝐫 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: 𝐀 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝 𝐟𝐨𝐫 𝐀𝐜𝐜𝐮𝐫𝐚𝐭𝐞 𝐃𝐞𝐦𝐚𝐧𝐝 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠
To solve these problems, we created a dashboard platform that uses predictive analytics and real-time data to optimize the gasoline supply chain. Our solution collects real-time data from various sources, giving immediate insights into shipment status and gasoline supply levels. The platform forecasts expected demand at each gasoline terminal, allowing companies to allocate resources efficiently and reduce waste. By predicting demand more accurately, gasoline can be supplied to areas with higher anticipated needs, reducing surplus in low-demand regions. This approach saves thousands of liters of gasoline and cuts transportation and storage costs, automating the supply chain for maximum efficiency. Our platform’s predictive features ensure the right amount of gasoline is delivered to the right place at the right time, reducing guesswork and inefficiencies. By using real-time data and advanced analytics, we help companies make better decisions, optimize their supply chains, and save money while minimizing their environmental impact.
AI DataYard is an AI solution development company. If you're looking to upgrade your business through AI, Data Science, and Analytics, share your problem statement with us at contact@aidatayard.com
Supply Chain Management| Predictive Analytics| Blockchain | Comptia Pentest + |Innovation Fellow
6moInteresting use case. What platform was the dashboard built on?