--- title: "AI Light Illuminates the 'Perfect Store'" description: "In the FMCG industry, with numerous categories and diverse channels, effectively covering and managing channel pathways is crucial for solving the equation 'Sales = Distribution × Sell-through'. While expanding store coverage, it is vital to ensure vivid in-store displays to boost sell-through. The concept of the 'Perfect Store' emerges to address how to achieve more single-store sell-through through极致 visual merchandising in limited key channels." author: "New Distribution" publisher: "New Distribution" email: "zhaobo258@gmail.com" telephone: "+8615854817671" published: "2019-12-30" categories: "Distribution & Channels, Management & Methods, Retail Formats" language: "en" canonical: "https://xinjignxiao.com/en/articles/ai-light-illuminates-the-perfect-store-4ef8d1cd/" markdown: "https://xinjignxiao.com/en/articles/ai-light-illuminates-the-perfect-store-4ef8d1cd.md" original_source: "https://mp.weixin.qq.com/s/_wRQ-obp8uMmdXvkScaTdw" translation: "https://xinjignxiao.com/zh/articles/ai%E4%B9%8B%E5%85%89-%E7%85%A7%E4%BA%AE-%E5%AE%8C%E7%BE%8E%E9%97%A8%E5%BA%97-4ef8d1cd.md" attribution: "New Distribution — https://xinjignxiao.com/en/articles/ai-light-illuminates-the-perfect-store-4ef8d1cd/" citation: "New Distribution. “AI Light Illuminates the 'Perfect Store'.” New Distribution, 2019-12-30. https://xinjignxiao.com/en/articles/ai-light-illuminates-the-perfect-store-4ef8d1cd/" usage_policy: "https://xinjignxiao.com/ai-policy.txt" --- # AI Light Illuminates the 'Perfect Store' > In the FMCG industry, with numerous categories and diverse channels, effectively covering and managing channel pathways is crucial for solving the equation 'Sales = Distribution × Sell-through'. While expanding store coverage, it is vital to ensure vivid in-store displays to boost sell-through. The concept of the 'Perfect Store' emerges to address how to achieve more single-store sell-through through极致 visual merchandising in limited key channels. In the FMCG industry, with numerous categories and diverse channels, effectively covering and managing channel pathways is crucial for solving the equation '**Sales = Distribution × Sell-through**'. While expanding store coverage, it is vital to ensure vivid in-store displays to boost sell-through. The concept of the Perfect Store emerges. The Perfect Store essentially addresses the question: '**How to achieve more single-store sell-through through极致 visual merchandising in limited key channels?**' **The Perfect Store calls for top-level design!** Top-level design involves two questions: **Question 1:** When, in which stores, for which brands or SKUs, and what visual merchandising activities (primary/secondary displays, promotions) should be executed? **Question 2:** What are the execution standards for visual merchandising? What are the assessment standards? What are the reward and punishment standards? **Perfect Store: It's not easy to love you!** Regarding top-level design, brand owners typically rely on their brand strength, operational experience, and market dynamics to secure appropriate timings and activities, and can design practical execution, assessment, and reward/punishment standards. 'Once the policy issues are resolved, the key lies in execution.' > How to collect on-site information? How to audit after collection? How to promptly distribute incentives after auditing? ... In practice, to ensure 'perfect execution' of their activities, brand owners often 'pursue perfection' in the design of execution information collection. In a single activity, the items requiring on-site collection may number in the dozens, each with multiple scenarios for information collection. For example: sellable products, mandatory products, competitor products, prices, POSM, location information, area information, facing information... The front line is 'overwhelmed', and the back office is also 'complaining'. Behind each execution standard are complex assessment standards: Assessment standards: ☑ All sellable products distributed: X points; below a certain threshold, no points. ☑ Secondary displays like floor stacks: location and area meet standards: X points. ☑ Promotion execution: activities run normally, promotional materials used properly, promoters on duty, and targets met: X points. ☑ If there are bonus items A/B/C, such as full-category compliance, each category meeting standards adds X points. ... After auditing, how to promptly distribute bonuses or reward points to the corresponding collectors for well-performing stores is also a key concern for brand owners. If incentives are not handled well—delayed distribution, inability to redeem, or lack of transparency—it can turn 'good things into bad'. > Example: > A certain company has 8,000+ promoters, collecting data once a week, each report taking about 30 minutes, with an average of 10 photos per report; backend audit time: 5 minutes per audit per person. Monthly data collection time and cost: > Monthly data collection time: (8k*4weeks*30min)/60 = 16,000 hours > Monthly backend audit time: (8k*4weeks*5min)/60 = 2,666 hours > Monthly third-party audit cost: (8k*4weeks*10 photos)*0.5 yuan = 160,000 yuan **AI Light Illuminates the 'Perfect Store'!** Is there an overall solution for companies facing these continuous heavy workloads and economic investments? Based on research and analysis of customer pain points, combined with advanced AI image recognition technology, Field 365 integrates AI technology with the Perfect Store scenario, **launching the Perfect Store AI Overall Solution, which greatly reduces the workload of frontline collection and audit personnel. Simply take a few photos, and the visual merchandising information and score data are immediately presented, helping companies reduce costs and increase efficiency.** **1. Configure AI Scoring Rules** Freely select display scenarios: end caps, shelves, refrigerators, floor stacks, cut cases, etc.; Set scenario-specific scoring indicators: number of SKUs, number and proportion of facings, shelf position, area, purity, etc.; **An activity can include multiple scenarios, and a scenario can include multiple scoring indicators.** For example: an activity includes floor stacks and shelves; floor stacks are assessed on location and area, shelves on facings and position. Multiple indicators can be linked with 'OR' or 'AND' logic. For example: in a shelf scenario, if facings are 5-8 and position is on layers 3-5, then 10 points are awarded. It can determine whether SKU displays on the shelf are continuous and assign corresponding scores. Configure calculation formulas to aggregate and calculate the total store score. **2. On-site Collection and Score Display** Frontline collectors can view AI scoring rules anytime on the APP. After taking photos, the AI system automatically provides scoring results. Different companies have different assessment indicators and requirements for retail stores, such as different distribution count requirements for large and small stores. How to meet the flexible and varied scenario assessment requirements of companies? Based on our understanding of customer business and strong product capabilities, Field 365 provides extremely flexible and simple configuration functions. **(1) For large store assessments, support setting distribution count indicators for specific SKUs.** **(2) For small store assessments, support setting distribution count indicators for specific categories/brands.** **No values, no sentiment, I want money!** Frontline collectors are not only the executors of the Perfect Store but also its beneficiaries. Store scores can be converted into employee points, which can be directly used to redeem items in the points mall. **Scan to register and experience now** Tips will be paid 400-2000 yuan once adopted. **If you like this article, click [**Wow**] and share with friends.** --- ## Citation metadata - Publisher: New Distribution - Author: New Distribution - Published: 2019-12-30 - Canonical: https://xinjignxiao.com/en/articles/ai-light-illuminates-the-perfect-store-4ef8d1cd/ - Original source: https://mp.weixin.qq.com/s/_wRQ-obp8uMmdXvkScaTdw ## Copyright and AI use This article is sourced from New Distribution. Search, quotation, summarization, and model training are permitted, but every use must credit New Distribution and retain the canonical source URL. Contact: zhaobo258@gmail.com · +86 158 5481 7671