“Our company has worked with GuanData on three different Machine Learning projects during the last year, and in each case was a pleasure to work with. The team is technically sound and always on the forefront of new modelling techniques. Deliverables are always on time and on brief. Rather than simply being a vendor, GuanData is dedicated to working side by side with ABI as a trusted partner. And most importantly, the team enjoys its work, is eager to drive results, and delivers. When future projects arise we would be happy to work with GuanData again.”
行业：快消品
业务：全国有430多家KA售点，旗下商品种类超过820个，与KA商户建立协同式供应链库存管理模式（CPFR）。
在预测层面，目前更多停留在专家经验判断，人工预测费时费力，且面临预测专家流失问题。
AI预测：对历史数据进行正则化、log预处理的分析探索，融入地理位置、门店经济指数、气温、赛事、节假日、促销活动等关键因子，基于时间序列、树模型、深度学习进行模型融合，输出预测结果。
固化经验：将专家经验固化在系统里，使其成为企业长久的数据资产。
提升效率：大幅降低人工预测成本，减轻日常数据繁琐的计算工作，提升3倍工作效率。
提高准度：比专家预测提升5%的精准度，大幅减少企业的生产、物流、仓储等成本， 提升了对售点突发事件（比如促销、节日、大型活动等）的应对能力。
