仅考核快车/特快单装货准点率，准点率不影响中单 放宽"建议到达时间"，特殊情况可再申请加时 "我们跑车经常会参考平台给出的时间点，大部分时候都可以在那个时间之前到达。尤其是对于刚加入平台的新司机来说，有一个时间作为参 考，跑起来心里更有底。"货拉拉司机刘圣表示，许多司机接单后都会看到订单内显示的建议到达时间，但之前并不知道时间是怎么计算出来 的。 货拉拉第五次算法公开的内容则解答了这个问题。据悉，货拉拉建议到达时间是系统根据订单距离、实时路况、司机车型等因素，计算出的司 机预计到达用户指定装货起点或卸货终点的时间点，其主要由三部分构成：导航基础时间、距离延长时间和车型延长时间，系统会在导航基础 时间之上，根据订单距离远近和货车车型大小，叠加相应的延长时长，距离越长、车型越大，叠加的延长时间也越长。 在实际货运过程中，订单会先显示抵达装货地的时间，完成装货后，再显示抵达卸货地的建议时间。为应对行驶途中可能出现的意外情况(如 车辆故障、严重拥堵、联系用户困难等)，平台还开设了异常报备渠道，司机可通过该渠道申请延长送达时间。在部分极端天气(如台风、暴雨) 或特殊节假日期间，平台也会采取豁免准点率考核的措施。 货拉拉 ...

12月10日，货拉拉正式公开建议到达时间及装货准点率算法规则。内容显示，货拉拉平台建议到达时间 由"导航基础时间""距离延长时间"和"车型延长时间"三部分组成，算法会自动在导航预估的基础时间 上，根据距离和车型额外设置延长时间，距离越远、车型越大给的延长时间越长。此外，平台仅考核快 车、特快订单抵达装货地的准点率，准点率不受司机抵达卸货地的时间影响，也不会影响司机中单率。 （文章来源：第一财经） ...

Core Viewpoint - Huolala has submitted its prospectus to the Hong Kong Stock Exchange again, indicating its urgency to complete the IPO process amidst a competitive landscape where rivals have already gone public [1][2]. Company Overview - Huolala operates as a light-asset platform similar to Didi in the ride-hailing sector, benefiting from high gross margins as it does not own the trucks or employ drivers directly [2][5]. - The company has a membership model for drivers, where higher membership levels correspond to lower commission rates, incentivizing experienced drivers to pay more for better terms [3][5]. Financial Performance - The revenue from driver fees and commissions constituted 54.7% of total revenue in 2022, decreasing to 44.9% by mid-2025, indicating a shift towards diversifying revenue streams [5][10]. - The total revenue for Huolala is projected to grow from $990.048 million in 2022 to $1.536903 billion in 2024, with significant contributions from various service categories [6][11]. Market Dynamics - The domestic market is characterized by a labor buyer's market, with a surplus of drivers, which supports the subscription model for revenue generation [10]. - Huolala's gross transaction value (GTV) in the domestic market is expected to rise from $6.208 billion in 2022 to $9.444 billion in 2024, reflecting growth in completed orders and service demand [11]. Cost Management - The company has successfully reduced its expense ratios across marketing, research and development, and administrative costs, which has improved profitability, with a projected net profit of $430 million in 2024 [13][15]. - The reduction in marketing expenses is attributed to decreased subsidies and a shift towards a more established market position, allowing for cost optimization [15]. International Expansion - Huolala is expanding its operations internationally, targeting Southeast Asia and Latin America, where it has a simplified revenue structure and higher monetization rates compared to the domestic market [8][12]. - The international market's revenue contribution is approaching 10% of total income, indicating a growing trend that enhances the company's narrative for capital markets [12]. Technological Integration - The company is exploring artificial intelligence applications for dynamic pricing and order matching, which could enhance operational efficiency and competitiveness in the logistics sector [12][16].

Core Insights - The article discusses the successful conclusion of the "Orange Heart Listening" algorithm consultation meeting held by Huolala in Beijing, focusing on key issues raised by drivers, including fee collection, freight guarantees, algorithm transparency, and occupational injury protection [1][3]. Group 1: Meeting Outcomes - The meeting resulted in a consensus on establishing an algorithm consultation mechanism, with commitments to enhance transparency and explainability of platform rules and algorithms for drivers and users [3][4]. - Huolala has previously held similar meetings in seven cities, generating nearly 40 agenda items, indicating a proactive approach to driver engagement and concerns [3]. Group 2: Driver Concerns and Protections - Drivers expressed significant concerns regarding safety and financial security in the event of accidents, highlighting the need for better support from the platform [3][4]. - Huolala has been involved in a pilot project for occupational injury protection for new employment forms since 2022, covering 1.7 million drivers with an investment of 150 million [4]. Group 3: Algorithm Transparency Initiatives - The company has taken steps to publicly disclose its core algorithm rules and optimization mechanisms, aiming to improve driver experiences and rights protection [4]. - Following feedback from drivers, Huolala has committed to further refining its algorithm rules to enhance the overall service experience [4].

Core Insights - The meeting held on August 19 in Beijing focused on addressing concerns of drivers regarding fee collection, freight guarantees, algorithm transparency, and occupational injury protection, resulting in a consensus and the signing of a meeting summary [1][3] Group 1: Meeting Outcomes - The meeting was part of the "Orange Heart Listening" initiative and was the final session after similar meetings in seven other cities, generating nearly 40 agenda items [3] - A consensus was reached to establish a mechanism for algorithm consultation, with commitments to increase transparency and explainability of algorithm mechanisms and platform rules [3][4] - The platform aims to enhance communication of rules to drivers, improving their understanding and ability to accept orders, thereby safeguarding their rights [3] Group 2: Driver Concerns and Protections - Drivers expressed concerns about safety and financial security in case of accidents, highlighting the need for better support from the platform [3] - The platform has been involved in a pilot project for occupational injury protection for new employment forms since 2022, covering 1.7 million drivers with an investment of 150 million [4] - The pilot program has expanded from 7 to 17 provinces, expected to cover 80% of drivers on the platform [4] Group 3: Algorithm Transparency Initiatives - In March, the platform announced measures to promote algorithm transparency, including the establishment of an algorithm ethics committee and the public disclosure of core algorithm rules [4] - Further optimization of algorithm rules has been conducted based on feedback from drivers, with ongoing efforts to enhance the driver experience and rights protection [4]

Core Viewpoint - HuoLaLa has become the first freight platform in the industry to publicly disclose its algorithms, indicating a shift towards sustainable development and social value orientation in the digital freight sector [1][4]. Algorithm Transparency - The announcement includes the establishment of an Algorithm for Good Committee, led by HuoLaLa's founder and CEO Zhou Shengfu, which will oversee the platform's algorithm rules and optimization mechanisms [1][9]. - The core algorithm for order distribution is based on a "first come, first served, nearby matching" principle, with 90% of orders being allocated to drivers based on proximity to the order's starting point [3]. Driver Income and Fairness - HuoLaLa has adjusted its algorithm to reduce commission fees and increase order fees, committing 200 million yuan in subsidies to drivers from 2023 to 2024 to promote order completion [4]. - The platform has eliminated discriminatory pricing practices, ensuring that all users pay the same price for identical routes at the same time, addressing concerns about "big data killing familiarity" [4]. Industry Context - The push for algorithm transparency is part of a broader trend in the logistics industry, with other platforms like Meituan and Ele.me also taking steps to ensure algorithm fairness and transparency [6][7]. - The National Market Supervision Administration has emphasized the need for increased algorithm transparency regulation, aligning with HuoLaLa's recent initiatives [6]. Future Challenges - The journey towards algorithm transparency is ongoing, with challenges such as balancing commercial confidentiality with public right to know and preventing new biases in algorithm iterations [9]. - A multi-stakeholder collaboration mechanism is essential for the continued advancement of algorithm transparency, requiring ongoing innovation in smart tools, legal framework improvements, and social participation [9]. Broader Implications - The movement towards algorithm transparency not only impacts the freight industry but also sets a precedent for corporate responsibility in the digital age, promoting a model of "technology for good" [10].