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市場調查報告書
商業戰略：RRM2.0 - 食品零售業中的顧客報價的最佳化
Business Strategy: RRM 2.0 - Customer Offer Optimization in Food Retail
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商業戰略：RRM2.0 - 食品零售業中的顧客報價的最佳化 是由出版商IDC Retail Insights在2011年10月所出版的。
這份英文市場調查報告書包含Pages: 18 價格從美金4500起跳。
IDC Retail Insights以RRM（零售收益管理）2.0 全頻道顧客生命週期報價管理這樣的概念展開。
本報告書為以RRM2.0為基礎的食品零售業中顧客報價的最佳化之相關檢驗，概述如下。
IDC Retail Insights的見解
調査概要
概況
- 支出優先順位
- 新課題：3I購物客- 3I：Informed（情報）、Instrumented（搭載）、Interconnected（相互接續）
- RRM2.0 顧客報價的最佳化
- 食品（食料品）零售業：為了構築RRM2.0能力的天然與3I購物者行動特性
- 美國食品零售業面臨課題
- 食品零售業增加顧客與產品分析相關的支出與軟體計畫
- RRM2.0生命週期顧客報價管理的方向性自然適應了食品購物
方法
將來展望
- 個人購物的生產性與管理
- 能力的有效化：RRM2.0的針對個人的店内報價管理
- 主要概念
- 數位的麵包屑
- 購物管理
- 全頻道的購物篇章
- 店舗打卡
- 購物篇章的數據
- 打卡者的擴張
- 顧客報價
- 報價提示
- CPG產業基金與零售業者的CRM之目的
- 階段的報價銀行
- 動態報價引擎
- 個人用店内報價管理的灯台案例
- Groupe Casino
- The Kroger Company
- Stop & Shop
- 企業分析販售者透過RRM2.0的店内報價管理有效化概要
- FICO
- Oracle
- IBM
- SAP
- Teradata
- SAS Institute
主要提案
參考資料
圖表
This IDC Retail Insights report develops our concept of RRM 2.0 omnichannel customer life-cycle offer management. Retailers can improve financial performance, customer loyalty, and ROI on trade funds through a life-cycle approach to customer-centric (as opposed to product-centric) offer management. An already significant vanguard of shoppers is ready for it, available technology can support it, and competition demands it. At least three lighthouse retailers in the United States and Europe are headed toward the IDC Retail Insights model of RRM 2.0 customer engagement. Leading retail technology vendors have demonstrated and are extending capabilities to rapidly realize this model.
Table of Contents
IDC Retail Insights Opinion
In This Study
Situation Overview
Spending Priorities
A New Challenge: 3I Shoppers - Informed, Instrumented, and Interconnected
RRM 2.0 Customer Offer Optimization
Food (Grocery) Retail: A Natural Incubator for Building RRM 2.0 Capabilities and 3I Customer Competencies
Food Retailing in the United States Is Challenged
Food Retailers Increasing Spending on Customer and Product Analytics and Planning Software
Both Dimensions of RRM 2.0 Life-Cycle Customer Offer Management Naturally Fit Food Shopping
The Approach
Future Outlook
Personal Shopping Productivity and Management
Enabling Capabilities: RRM 2.0 Personalized In-Store Offer Management
Key Concepts
Digital Breadcrumbs
Shopping Management
Omnichannel Shopping Episode
Store Check-Ins
Shopping Episode Data
Enhanced Shopper Analytics
Customer Offers
Offer Presentation
CPG Trade Funds and Retailer CRM Objectives
Staged Offer Bank
Dynamic Offer Engine
Lighthouse Examples of Personalized In-Store Offer Management
Groupe Casino
The Kroger Company
Stop & Shop
Quick Rundown of Enterprise Analytics Vendors Enabling RRM 2.0 In-Store Offer Management
FICO
Oracle
IBM
SAP
Teradata
SAS Institute
Essential Guidance
Learn More
Related Research
Synopsis
Figure: Top Critical Business Initiatives for U.S. Retailers
Figure: Customer-Centric Versus Product-Centric Analytics and Planning Investment, 2009-2014
Figure: RRM 2.0 Personalized In-Store Offer Management Schematic
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