{"id":22878,"date":"2025-07-01T12:38:44","date_gmt":"2025-07-01T10:38:44","guid":{"rendered":"https:\/\/lydia.bfoundlabs.com\/whitepaper\/lydia-the-smart-voice-assistant-for-logistics-and-industry\/"},"modified":"2025-07-30T14:29:35","modified_gmt":"2025-07-30T12:29:35","slug":"fuel-charge-stop-optimization","status":"publish","type":"whitepaper","link":"https:\/\/epg.com\/fr\/livre-blanc\/fuel-charge-stop-optimization\/","title":{"rendered":"Fuel\/Charge Stop Optimization"},"content":{"rendered":"\r\n<p class=\"wp-block-paragraph\">In traditional logistics, as the meter ticks closer to empty, drivers begin searching for the nearest station to refill. But the nearest station is not necessarily the most time-effective, cost-effective, or convenient. For e-trucks, the nearest station might not be near enough. Greenplan\u2019s newest tool analyzes the cost and detour distance of various stations along a route to pre-plan smarter stops. It squeezes significantly more km out of every Euro spent on fuel and supports an easy transition to an electric fleet for operations looking to lighten their ecological impact.<\/p>\r\n","protected":false},"template":"","product":[717],"class_list":["post-22878","whitepaper","type-whitepaper","status-publish","hentry","product-greenplan-fr"],"_links":{"self":[{"href":"https:\/\/epg.com\/fr\/wp-json\/wp\/v2\/whitepaper\/22878","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/epg.com\/fr\/wp-json\/wp\/v2\/whitepaper"}],"about":[{"href":"https:\/\/epg.com\/fr\/wp-json\/wp\/v2\/types\/whitepaper"}],"wp:attachment":[{"href":"https:\/\/epg.com\/fr\/wp-json\/wp\/v2\/media?parent=22878"}],"wp:term":[{"taxonomy":"product","embeddable":true,"href":"https:\/\/epg.com\/fr\/wp-json\/wp\/v2\/product?post=22878"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}