Invalusys RMX: Resale Strategy & Margin Recovery Intelligence

Name: Invalusys RMX: Resale Strategy & Margin Recovery Intelligence
Creator: RMX Recommerce
Published: 2025-04-30 16:52:56
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# **Smarter Resale Starts with Real-Time Intelligence** Invalusys – RMX Recommerce Solutions gives retailers the clarity and control to transform their returns, excess, and SLOB (Slow-Moving, Obsolete, and Broken) inventory into profitable resale opportunities. Built for the new resale economy, Invalusys unifies siloed data from WMS, OMS, TMS, and RMA systems into a single, powerful dashboard. This holistic view powers dynamic resale pricing strategies, channel optimization, and operational performance tracking—all in real time. Without structured data, resale pricing is reactive and costly. Invalusys provides the insight needed to match every product to its most profitable resale path, understand the true value of unsold inventory, and cut through bottlenecks in return handling. It’s not just a data product—it’s a strategy engine for modern recommerce operations. **RMX Recommerce** is a global leader in resale and recommerce, providing technology, data, and managed services to retailers and brands. RMX has managed projects across the US, UK, EU, GCC, and China—processing millions of items, preventing landfill waste, and delivering innovative trade-in, buyback, and resale solutions that drive circular growth and revenue recovery.

提供机构：

RMX Recommerce

创建时间：

2024-11-06

原始信息汇总

Invalusys RMX: Resale Strategy & Margin Recovery Intelligence

概述

Invalusys – RMX Recommerce Solutions为零售商提供实时智能，帮助其将退货、过剩和SLOB（慢动、过时和损坏）库存转化为有利可图的转售机会。该数据集整合了来自WMS、OMS、TMS和RMA系统的数据，提供动态转售定价策略、渠道优化和运营绩效跟踪。

业务需求

逆向物流与客户退货

关键指标：净回收率、总退货成本、退货分级成本、转售和再处理周期。

库存管理

帮助零售商了解SLOB库存的位置、价值及潜在退出路径。

供应链

监控供应链流程对转售/退货处理的影响。

市场分析

分析需求，优化转售策略，按区域和转售渠道评估库存转售潜力。

定价分析

提供二级市场转售的价格弹性和定价策略框架数据。

数据字典

CIRCULAR_METRIX

列名：
- CATEGORY (Varchar)
- EAN (Varchar)
- PRODUCT_NAME (Varchar)
- MSRP (Number)
- SALE_2 (Number)
- SALE_3 (Number)
- SALE_4 (Number)
- ITVP (Number)
- ACTUAL_ITVP (Number)
- CONDITION_GRADE_SALES_1 (Varchar)
- CONDITION_GRADE_SALES_2 (Varchar)
- CONDITION_GRADE_SALES_3 (Varchar)
- CONDITION_GRADE_SALES_4 (Varchar)
- DAYS_PRODUCT_USED (Number)

使用示例

按产品类别跟踪退货授权（RMA）

sql SELECT p.product_id, p.product_name, p.product_type, p.brand_name, COUNT(DISTINCT p.returned_order) AS total_rmas, COUNT(DISTINCT p.rma_date) AS unique_rma_dates, MIN(p.rma_date) AS first_rma_date, MAX(p.rma_date) AS last_rma_date FROM products AS p WHERE NOT p.rma_date IS NULL GROUP BY p.product_id, p.product_name, p.product_type, p.brand_name ORDER BY total_rmas DESC;