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真实声音|听听物流行业客户选择江铃智慧车队的理由 ...
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真实声音|听听物流行业客户选择江铃智慧车队的理由
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车队管理对很多车队老板来说都是一大难题,公车私用,车辆难以控制;需要调派车辆,搞不清楚车辆信息;车辆需保养维护,但难以统计,耗时耗力……类似的麻烦,来自广州市铃达物流运输有限公司的李总也曾遇到过。
广州市铃达物流运输有限公司是一家位于广州白云区的新创物流公司,公司旗下拥有江铃品牌车辆172台,主营业务为省内物流和物流车辆租赁业务。虽说是新创公司,但也面临着和传统物流公司一样的车队管理难题,这对公司管理者李总而言是一个巨大的挑战。
这些车队管理问题,令我有苦难言
管理不透明,工作量繁琐导致成本上升,这是两个核心问题。李总诉苦到:“我们无法限定行驶路径,所以很多司机不按照规划区域行驶,公车私用无法避免。同时,车是公司的资产,粗暴驾驶导致的损伤同样也是管理成本之一,但司机的驾驶行为也无法直观的体现出来。”另外,还有繁琐的费用管理制度,“我们需要从加油站调取油卡的使用记录,从维修站调取保养维修费用记录,还要手工记录过路过桥等小费用。”
告别传统车队管理方式
江铃智慧车队,分分钟解决管理难题
为了帮助客户更好地解决管理难题,江铃智慧车队应运而生,这是一款江铃提供给大客户的车队管理工具,平台上线后,把管理数字化,通过车辆定位、轨迹回放、核心车辆指标导出、驾驶行为数据统计及分析等一系列数字化功能,轻松发现痛点问题,进行有效管理。
“之前使用过某定位程序,效果不是很理想。偶然看到了江铃智慧车队的介绍,当时抱着试试看的态度尝试了一下。在使用过一段时间以后,真正感受到了它的高效性和便捷性,分分钟帮我解决管理难题。”
01
实时定位,安全规范
实时定位功能可以清楚看见车辆所在位置,行驶路线轨迹回放可判断司机是否存在异常驾驶行为,电子围栏功能可以更有效的划定车辆行驶区域,对出现超出限定区域车辆实时发出预警信息,从而从根本上杜绝公车私用等一系列问题。
02
车辆状态一目了然,爱车了如指掌
智慧车队平台会对车辆的燃油、尿素、公里数等多项核心指标做到检测,车辆状态数据化展示,对爱车了如指掌。
03
驾驶行为展示,透明管理车队
掌握每一位司机的驾驶行为、油耗情况、车辆报警、车辆平均使用率等数据,可作为车辆拥有者对司机驾驶行为的评判。同时平台还可记录每次车辆加油、维修、保养的详细费用,管理更趋透明,车队长可进而了解车辆的运输成本,对比收益进行合理调整。
04
操作简单,实时互联
江铃智慧车队平台操作简单,通过手机扫描二维码即可注册。平台支持手机及PC端全天候的服务管理,无论是在通勤路上,在办公室,亦或休息在家,都可以通过后台实时调取数据,真正做到全方位车队管理。
这也正是李总在采访中跟我们提到的:“我现在很少实地去看车的情况了,手机APP程序可以一目了然,在办公室就可以解决所有问题。而且也没有人找我签字报销费用了,车队长和财务效率非常高,他们都对智慧车队赞不绝口。”
李总还补充道:“服务也做的很好,江铃汽车安排了专门的团队点对点对接。每次有使用问题微信、电话一下就能找到人,还经常与我们沟通培训并交换使用意见。”
江铃智慧车队,更多客户的选择
坚持以客户为中心的理念,智慧车队平台利用数字化手段,为客户提供高效、便捷的车队管理解决方案。平台不仅适用于江铃品牌,还适用于非江铃品牌汽车,也就是说,不论你的车队拥有几个品牌的车辆,一样能够便捷省心。车、人、成本都管理好了,公司效益和价值也就上来了。
目前,已有多家优质客户选择加入智慧车队平台,未来将会有更多各行各业客户继续选择智慧车队平台服务,期待您的加入!
即刻扫码免费注册体验江铃智慧车队服务
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]-o_q-_-x
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