AI 驅動送貨路線功能
Tractor Supply 推出 AI 輔助路線規劃工具
Tractor Supply 於 Home Delivery World 2026 展會上表示，公司引入人工智能輔助路線規劃工具，協助擴展其內部末端物流配送網絡。自 2025 年初開始擴展自家車隊以來，這家零售商已部署此技術，協助地區經理運用人工智能生成的規劃方案，並由經理進一步優化及分派任務，藉此建立更高效的配送路線。
此次推行將路線規劃工作，由司機轉移至前線管理層，讓地區經理得以如調度中心般運作，同時優化車輛使用率。Tractor Supply 亦運用人工智能驅動的洞察分析，讓門店團隊能更清晰掌握配送狀態，而非將客服來電流程自動化，藉此保留與本地顧客的關係。
公司現正計劃研發人工智能生成的逐站停留時間估算，以因應大件貨物配送及大型農場物業的需要。這種更高的可預測性，有望改善排程安排，同時讓司機得以專注於客戶服務——這正反映出人工智能於優化零售物流及末端配送作業方面日益廣泛的應用。
英文原文
Tractor Supply introduced AI-assisted routing tools to help scale its in-house last-mile delivery network, the company said at Home Delivery World 2026. After beginning to expand its private fleet in early 2025, the retailer deployed the technology to help territory managers build more efficient delivery routes using AI-generated plans that managers refine and assign.
The rollout shifted route planning from drivers to field leadership, allowing territory managers to operate like a dispatch office while optimizing vehicle utilization. Tractor Supply also used AI-powered insights to give store teams better visibility into delivery status rather than automate inbound customer calls, preserving local customer relationships.
The company now plans to develop AI-generated estimates for stop-level dwell times to account for bulky deliveries and large farm properties. The added predictability will improve scheduling while allowing drivers to focus on customer service, reflecting the broader use of AI to optimize retail logistics and final-mile operations.
- 來源
- Trend Hunter
- 發布
- 2026-06-26
- 品類
- Transportation
- 出處
- retaildive