人工智能执行指南：通过AI自动化零售运营

E x e c u t i v eG u i d e t o A IEXECUTIVEGUIDETOAI Automate RetailOperations with AIAutomate RetailOperations with Al Table of ContentsTable of Contents Introduction2Chapter 1: Why 74% of AI Pilots Never Scale6Chapter 2: The Fragmented Data Problem12Chapter 3: The Cost of Inventory Distortion17Chapter 4: Connecting Distributed Data23Chapter 5: Turning Intelligence into Impact29Chapter 6: Autonomous Operations with Agentic AI35Chapter 7: AI-Powered Promotion Planning40Chapter 8: Predictive Supply Chain44Chapter 9: Workflow Automation50Chapter 10: The 18-Month Implementation Myth55Chapter 11: Data Sovereignty and Compliance59Chapter 12: TheROI Framework forRetailLeaders64Introduction2Chapter 1: why 74% of Al Pilots Never Scale6Chapter 2: The Fragmented Data Problem12Chapter 3: The Cost of Inventory Distortion17Chapter 4: Connecting Distributed Data23Chapter 5: Turning Intelligence into Impact29Chapter 6: Autonomous Operations with Agentic Al35Chapter 7: Al-Powered Promotion Planning40Chapter 8: Predictive Supply Chain44Chapter 9: Workflow Automation50Chapter 10: The 18-Month Implementation Myth55Chapter 1l: Data Sovereignty and Compliance59Chapter 12: The ROl Framework for Retail Leaders64 Introduction
The $1.7 TrillionIntroduction Problem Hiding inYour ERPThe $l.7 TrillionProblem Hiding InYour ERP Somewhere in your business right now, a promoted SKU is showing as in stock inyour ERP, WMS, and POS systems simultaneously. In reality, it’s been out of stock forwho knows how long. Your planning team doesn't know yet. By the time they do, thepromoted window will have closed, three customers will have bought the item fromyour competitor, and you’ll blame system quality.promoted window will have closed, three customers will have bought the item fromyour competitor, and you'll blame system quality. Your systems aren't failing. They're doing what they were built to do, which is torecord transactions. The ERP recorded the receipt. The WMS recorded the putaway.The POS recorded the last scan. None of them were built to reason about whatthose three records mean together, in real time, at the SKU and location level.Your systems aren't failing. Theyre doing what they were built to do, which is torecord transactions. The ERP recorded the receipt. The WMs recorded the putaway.The Pos recorded the last scan. None of them were built to reason about whatthose three records mean together, in real time, at the sku and location level. That reasoning is intelligence. It's different from data the way a diagnosis isdifferent from a test result. Most retail organizations have the test results. They're stillwaiting for the diagnosis.That reasoning is intelligence. It's different from data the way a diagnosis isdifferent from a test result. Most retail organizations have the test results. They're stillwaiting for the diagnosis. That figure represents 6.5% of total global retail sales. It’s larger than the GDP ofSouth Korea. And it persists despite the industry spending $172 billion onimprovements over the past year alone.That figure represents 6.5% of total global retail sales. It's larger than the GDP ofSouth Korea. And it persists despite the industry spending $i172 billion onimprovements over the past year alone. The breakdown matters. Out-of-stock items accounted for the majority, roughly $1.2trillion in revenue that customers were ready to spend but couldn't because theitem they wanted wasn't on the shelf or in the right location.The breakdown matters. Out-of-stock items accounted for the majority, roughly $1.2trillion in revenue that customers were ready to spend but couldn't because theitem they wanted wasn't on the shelf or in the right location. Overstock accounted for most of the rest,excess inventory that tied up workingcapital, occupied storage capacity, andeventually exited the business at amarkdown that ate directly into grossmargins. Supply chain disruption was thesingle largest contributing factor at $301billion, followed by internal inefficienciesand shrinkage.Overstock accounted for most of the rest,excess inventory that tied up workingcapital, occupied storage capacity, andeventually exited the business at amarkdown that ate directly into grossmargins. supply chain disruption was thesingle largest contributing factor at $301billion, followed by internal inefficienciesand shrinkage. $1.2T(revenue customers were ready to spend)S1.2T $1.72TS1.72T 6.5%(as a share of total global retail sales)6.5%(as a share of total global retail sales) These numbers are industry-wide. At the level of an individual organization, theytranslate into a different kind of math. For a $500 million retailer operating at typicalindustry distortion rates, the annual cost of stockouts, overstock carrying costs, andmarkdown-driven margin erosion runs to $36 to $43 million.These numbers are industry-wide. At the level of an individual organization, theytranslate into a different kind of math. For a $5o0 million retailer operating at