返回榜单
Procurify

Procurify

Procurify

Business免费v2.23.63
App Store
评分

4.8

808 条评分

星级

★★★★★

最近更新

2026年4月8日

发布日期

2014年2月24日

更新内容

v2.23.63

This version includes minor bug fixes and performance updates.

应用信息

开发者
Procurify
分类
Business
价格
免费
版本
2.23.63
App ID
823513135

简介

Procurify is the AI-enhanced procurement and AP automation platform for the mid-market. We make it easy for organizations to take control of spend and save money. Procurify offers the most complete procure-to-pay system, seamlessly integrating purchase requests, approvals, expenses, purchase orders, contracts, vendors, budgets, receiving, invoicing, bill payments, spending cards, and more. Named the #1 Mid-Market Purchasing Software by G2, Procurify is trusted by hundreds of customers worldwide to manage over $30 billion USD of organizational spend. We integrate with major ERP accounting systems such as NetSuite, Sage Intacct, Microsoft Dynamics 365, and QuickBooks Online to provide customers with real-time visibility into the most accurate and complete spend data. What our customers say: “We were able to get our requisition cycle time down from about twenty-nine days down to one day. That’s 96% faster which is a monumental improvement from our previous processes.” - Skye Durant, Director of Procurement at Canal Barge Why Procurify? - Eliminate rogue spending and encourage budget discipline with flexible spend controls - Streamline communication and empower decision-making with a complete picture of every purchase transaction - Improve your bottom line with spend insights and real-time budget visibility on desktop and mobile - Remove purchasing bottlenecks and speed up purchase cycle times with configurable workflows and automation - Integrate seamlessly with your accounting system or ERP to automate the data workflows between finance and procurement. For more information, visit www.procurify.com.

下载量预测

专业 · 预览

预估总下载量

108K81K162K
保守估计乐观估计

542

低 / 月

723

预估 / 月

1K

高 / 月

基于808 条评分
假设评分率0.8%
应用年龄149 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。