<p>Afresh 的人工智能平台現在管理着中心商店和一般商品的補貨、庫存和配送中心採購決策——每年已經訂購超過 3.2 億件中心商店商品。</p>
<p>, /PRNewswire/ -- Afresh，領先的雜貨人工智能公司，今天宣佈將 Afresh 平台擴展到整個雜貨企業的每個部門——包括中心商店、冷凍、一般商品以及健康和美容，此外還有 Afresh 建立基礎的生鮮區域。</p>
<p>雜貨商現在可以在一個單一的雜貨原生人工智能平台上管理補貨、需求預測、庫存管理和配送中心採購，覆蓋每個部門。</p>
<p>&#34;幾十年來，雜貨技術是為包裝商品而構建的，然後再適應生鮮，&#34; Afresh 的聯合創始人兼首席執行官 Matt Schwartz 説。&#34;我們做了相反的事情。我們從商店中最困難的環境開始：生鮮——沒有條形碼的散裝農產品、隨機重量的肉類和熟食。一旦我們解決了這些問題，將這種智能擴展到商店的其他部分就變得可能。隨着今天的擴展，雜貨商可以在一個專門構建的雜貨人工智能平台上管理整個商店的庫存、補貨和採購決策。&#34;</p>
<p>這使得 Afresh 成為唯一能夠管理各部門每個項目的雜貨人工智能平台，包括：</p>
<ul>
<li>沒有條形碼的散裝和隨機重量的農產品</li>
<li>次級肉類和熟食櫃切割</li>
<li>熱吧和麪包店的熟食和配料項目</li>
<li>乳製品如牛奶和包裝奶酪</li>
<li>包裝雜貨項目，包括意大利麪和冷凍晚餐</li>
<li>洗碗液和其他家庭必需品</li>
<li>洗髮水、護髮素和美容產品</li>
</ul>
<p>Afresh 在所有部門的擴展建立在其管理生鮮部門內包裝商品的現有經驗之上。在過去一年中，該平台為耐儲存商品下了超過 3.2 億個訂單。這些商品現在佔總訂單量的 33%，在麪包店部門甚至高達 44%。</p>
<p><strong>一個平台，部門特定智能</strong></p>
<p>雜貨部門在非常不同的約束下運作。穀物通道依賴穩定的 UPC、較長的保質期、箱裝訂購和可預測的促銷計劃。肉類櫃和熟食項目必須處理隨機重量的商品、店內生產和有限保質期的產品。</p>
<p>Afresh 是為處理這些差異而構建的。該平台運行一個單一的人工智能引擎，但通過針對每個部門的勞動模型調整的部門特定數據模型和工作流程，適應商店內不同的工作方式。它自動化了中心商店和生鮮部門的庫存和採購決策：在農產品中，它幫助團隊保持庫存準確，而無需不斷重新計算；在肉類和海鮮中，它將箱裝、隨機重量和切割決策直接納入訂購；在麪包店和熟食中，它將採購和生產與每日需求和批次時間對齊——減少人工計算和中途重新規劃。</p>
<p>這種部門特定的理解使系統得以運作，也解釋了為什麼商店團隊在所有商品類型上遵循建議的遵循率超過 95%。結果是雜貨商以前沒有的東西：在一個系統上實現部門特定智能，提供從配送中心到貨架的庫存、需求和採購決策的共享視圖。</p>
<p><strong>結束雜貨系統碎片化</strong></p>
<p>雜貨零售商曆史上在一系列不連貫的系統中管理生鮮部門、中心商店和供應鏈操作。這種碎片化使得在商品、配送和商店操作之間協調決策變得困難——並且常常導致過剩、缺貨和在供應鏈中累積的損失。</p>
<p>&#34;雜貨商花了幾十年時間與系統和數據的分散作鬥爭，試圖強迫碎片化的數據在從未設計為連接的平台之間進行交流。這使得獲得業務的完整圖景幾乎不可能，&#34;前 Loblaw Companies Limited 和 Sobeys 的首席信息官 Bruce Burrows 説。&#34;Afresh 採取了不同的方法。它們沒有僅僅修補漏洞，而是構建了一個單一的人工智能原生系統，提供整個供應鏈的統一視圖。&#34;</p>
<p>當採購、補貨和庫存在同一系統上運行時，這種協調會立即改變。一個為期兩週的牛排促銷在公司層面輸入後，會自動調整商店的補貨數量、改變配送中心的採購量，並更新生產計劃——而無需任何人工交接。</p>
<p><strong>為您的現有系統量身定製</strong></p>
<p>零售商可以通過移動和網絡應用程序部署完整的 Afresh 平台，或將平台的人工智能作為現有系統中的後端引擎集成——而無需重建整個技術架構。大多數企業雜貨平台的實施需要 12 到 18 個月。Afresh 的部署通常在四個月內完成，無需外部系統集成商。</p>
<p>已經在生鮮部門使用 Afresh 的零售商可以逐步擴展到中心商店類別，而無需新的實施。</p>
<p>自成立以來，Afresh 已防止超過 2 億磅的食品浪費。隨着今天的擴展，雜貨商可以以相同的精確度和盈利能力管理每個項目——從一顆生菜到一盒穀物再到一管洗髮水——同時減少食品供應鏈中的浪費。</p>
<p>管理生鮮部門、中心商店和供應鏈決策在不同系統上的時代已經結束。</p>
<p><strong>關於 Afresh</strong></p>
<p>Afresh 是全球領先的雜貨人工智能公司，專為雜貨店的實際運營而設計——從生鮮部門到中心商店商品，以及商店到配送中心。其平台幫助雜貨商決定購買、訂購、生產和銷售的商品，覆蓋整個運營過程。最終結果是更高的利潤、更少的浪費和貨架上更新鮮的食品。Afresh 成立於 2017 年，使命是消除食品浪費，使新鮮食品對所有人都可獲得，目前在 40 個州的 12,000 多個部門支持運營。合作伙伴包括 Albertsons Companies、Brookshire Brothers、Stater Bros.、Meijer 和 Wakefern。瞭解更多信息，請訪問 www.afresh.com。</p>
<p>來源：Afresh Technologies</p>
<p><img src="https://imageproxy.pbkrs.com/https://rt.prnewswire.com/rt.gif/query-RGF0ZUlkPTIwMjYwMzE3Jk5ld3NJdGVtSWQ9U0YxMjE5NCZUcmFuc21pc3Npb25fSWQ9MjAyNjAzMTcxMTAyUFJfTkVXU19VU1BSX19fX19TRjEyMTk0?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://rt.prnewswire.com/rt.gif/query-RGF0ZUlkPTIwMjYwMzE3Jk5ld3NJdGVtSWQ9U0YxMjE5NCZUcmFuc21pc3Npb25fSWQ9MjAyNjAzMTcxMTAyUFJfTkVXU19VU1BSX19fX19TRjEyMTk0"/></p>

FREHY

<p>Afresh 是一家領先的雜貨人工智能公司，已擴展其平台以管理所有雜貨部門的補貨、庫存和採購決策，包括中心商店、冷凍食品以及健康與美容。這使得 Afresh 成為唯一能夠處理每種商品類型的雜貨人工智能平台，提高了效率並減少了食品浪費。該平台適應不同部門的獨特需求，確保對庫存和需求的統一視圖。零售商可以快速實施 Afresh，通常在四個月內完成，從而增強供應鏈的協調性，最小化庫存過剩和缺貨情況</p>

<p><em>Afresh's AI platform now manages replenishment, inventory, and DC buying decisions across center store and general merchandise — already ordering more than 320 million center store items annually.</em></p>
<div class="lb-trans"><p>Afresh 的人工智能平台現在管理着中心商店和一般商品的補貨、庫存和配送中心採購決策——每年已經訂購超過 3.2 億件中心商店商品。</p>
</div><p>, /PRNewswire/ -- Afresh, the leading grocery AI company, today announced the expansion of the Afresh platform to every department across the grocery enterprise — including center store, frozen, general merchandise, and health and beauty, in addition to the fresh perimeter where Afresh built its foundation.</p>
<div class="lb-trans"><p>, /PRNewswire/ -- Afresh，領先的雜貨人工智能公司，今天宣佈將 Afresh 平台擴展到整個雜貨企業的每個部門——包括中心商店、冷凍、一般商品以及健康和美容，此外還有 Afresh 建立基礎的生鮮區域。</p>
</div><p>Grocers can now manage replenishment, demand forecasting, inventory management, and distribution center buying across every department on a single grocery-native AI platform.</p>
<div class="lb-trans"><p>雜貨商現在可以在一個單一的雜貨原生人工智能平台上管理補貨、需求預測、庫存管理和配送中心採購，覆蓋每個部門。</p>
</div><p>&#34;For decades, grocery technology was built for packaged goods and then adapted to fresh,&#34; said Matt Schwartz, co-founder and CEO of Afresh. &#34;We did the opposite. We started with the hardest environment in the store: fresh — bulk produce with no barcodes, random-weight meats, and prepared foods. Once we solved those problems, extending that intelligence across the rest of the store became possible. With today's expansion, grocers can run inventory, replenishment, and buying decisions across the entire store on one purpose-built grocery AI platform.&#34;</p>
<div class="lb-trans"><p>&#34;幾十年來，雜貨技術是為包裝商品而構建的，然後再適應生鮮，&#34; Afresh 的聯合創始人兼首席執行官 Matt Schwartz 説。&#34;我們做了相反的事情。我們從商店中最困難的環境開始：生鮮——沒有條形碼的散裝農產品、隨機重量的肉類和熟食。一旦我們解決了這些問題，將這種智能擴展到商店的其他部分就變得可能。隨着今天的擴展，雜貨商可以在一個專門構建的雜貨人工智能平台上管理整個商店的庫存、補貨和採購決策。&#34;</p>
</div><p>This makes Afresh the only grocery AI platform capable of managing every item across departments, including:</p>
<div class="lb-trans"><p>這使得 Afresh 成為唯一能夠管理各部門每個項目的雜貨人工智能平台，包括：</p>
</div><ul>
<li>Bulk and random-weight produce with no barcodes</li>
<li>Subprimal meat and deli counter cuts</li>
<li>Prepared food and ingredient items for hot bars and bakery</li>
<li>Refrigerated items such as milk and packaged cheese</li>
<li>Packaged grocery items, including pasta and frozen dinners</li>
<li>Dish soap and other household essentials</li>
<li>Shampoo, conditioner, and beauty products</li>
</ul>
<div class="lb-trans"><ul>
<li>沒有條形碼的散裝和隨機重量的農產品</li>
<li>次級肉類和熟食櫃切割</li>
<li>熱吧和麪包店的熟食和配料項目</li>
<li>乳製品如牛奶和包裝奶酪</li>
<li>包裝雜貨項目，包括意大利麪和冷凍晚餐</li>
<li>洗碗液和其他家庭必需品</li>
<li>洗髮水、護髮素和美容產品</li>
</ul>
</div><p>Afresh's expansion across all departments builds on its existing experience managing packaged goods within fresh departments. Over the past year, the platform placed more than 320 million orders for shelf-stable items. These items now represent 33% of total order volume, and as much as 44% in bakery departments.</p>
<div class="lb-trans"><p>Afresh 在所有部門的擴展建立在其管理生鮮部門內包裝商品的現有經驗之上。在過去一年中，該平台為耐儲存商品下了超過 3.2 億個訂單。這些商品現在佔總訂單量的 33%，在麪包店部門甚至高達 44%。</p>
</div><p><strong>One Platform, Department-Specific Intelligence</strong></p>
<div class="lb-trans"><p><strong>一個平台，部門特定智能</strong></p>
</div><p>Grocery departments operate under very different constraints. A cereal aisle runs on stable UPCs, long shelf lives, case-pack ordering, and predictable promotional schedules. A meat counter and prepared foods program has to handle random-weight items, in-store production, and products with limited shelf life.</p>
<div class="lb-trans"><p>雜貨部門在非常不同的約束下運作。穀物通道依賴穩定的 UPC、較長的保質期、箱裝訂購和可預測的促銷計劃。肉類櫃和熟食項目必須處理隨機重量的商品、店內生產和有限保質期的產品。</p>
</div><p>Afresh was built to handle those differences. The platform runs a single AI engine, but adapts to the different ways work happens across the store through department-specific data models and workflows tuned to each department's labor model. It automates inventory and buying decisions across center store and fresh departments: in produce, it helps teams keep inventory accurate without constant recounting; in meat and seafood, it builds case-pack, random-weight, and cutting decisions directly into ordering; and in bakery and prepared foods, it aligns buying and production with daily demand and batch timing — reducing manual calculations and mid-shift replanning.</p>
<div class="lb-trans"><p>Afresh 是為處理這些差異而構建的。該平台運行一個單一的人工智能引擎，但通過針對每個部門的勞動模型調整的部門特定數據模型和工作流程，適應商店內不同的工作方式。它自動化了中心商店和生鮮部門的庫存和採購決策：在農產品中，它幫助團隊保持庫存準確，而無需不斷重新計算；在肉類和海鮮中，它將箱裝、隨機重量和切割決策直接納入訂購；在麪包店和熟食中，它將採購和生產與每日需求和批次時間對齊——減少人工計算和中途重新規劃。</p>
</div><p>This department-specific understanding is what makes the system work, and why store teams follow recommendations at a 95%+ adherence rate across all item types. The result is something grocers haven't had before: department-specific intelligence on a single system, with a shared view of inventory, demand, and buying decisions from the DC to the shelf.</p>
<div class="lb-trans"><p>這種部門特定的理解使系統得以運作，也解釋了為什麼商店團隊在所有商品類型上遵循建議的遵循率超過 95%。結果是雜貨商以前沒有的東西：在一個系統上實現部門特定智能，提供從配送中心到貨架的庫存、需求和採購決策的共享視圖。</p>
</div><p><strong>Ending System Fragmentation in Grocery</strong></p>
<div class="lb-trans"><p><strong>結束雜貨系統碎片化</strong></p>
</div><p>Grocery retailers have historically managed fresh departments, center store, and supply chain operations across a patchwork of disconnected systems. That fragmentation makes it difficult to coordinate decisions across merchandising, distribution, and store operations — and often results in overstock, out-of-stocks, and shrink that compound across the supply chain.</p>
<div class="lb-trans"><p>雜貨零售商曆史上在一系列不連貫的系統中管理生鮮部門、中心商店和供應鏈操作。這種碎片化使得在商品、配送和商店操作之間協調決策變得困難——並且常常導致過剩、缺貨和在供應鏈中累積的損失。</p>
</div><p>&#34;Grocers have spent decades wrestling with system and data sprawl, trying to force fragmented data to talk across platforms that were never designed to connect. It's made getting a complete picture of the business nearly impossible,&#34; said Bruce Burrows, former CIO of Loblaw Companies Limited and Sobeys. &#34;Afresh took a different approach. Instead of just patching gaps, they've built a single AI-native system that provides a unified view across the entire supply chain.&#34;</p>
<div class="lb-trans"><p>&#34;雜貨商花了幾十年時間與系統和數據的分散作鬥爭，試圖強迫碎片化的數據在從未設計為連接的平台之間進行交流。這使得獲得業務的完整圖景幾乎不可能，&#34;前 Loblaw Companies Limited 和 Sobeys 的首席信息官 Bruce Burrows 説。&#34;Afresh 採取了不同的方法。它們沒有僅僅修補漏洞，而是構建了一個單一的人工智能原生系統，提供整個供應鏈的統一視圖。&#34;</p>
</div><p>When buying, replenishment, and inventory run on the same system, that coordination changes immediately. A two-week steak promotion entered at the corporate level automatically adjusts store replenishment quantities, shifts DC purchasing volumes, and updates production planning schedules — without a single manual handoff between</p>
<div class="lb-trans"><p>當採購、補貨和庫存在同一系統上運行時，這種協調會立即改變。一個為期兩週的牛排促銷在公司層面輸入後，會自動調整商店的補貨數量、改變配送中心的採購量，並更新生產計劃——而無需任何人工交接。</p>
</div><p><strong>Built to Fit Your Existing Systems</strong></p>
<div class="lb-trans"><p><strong>為您的現有系統量身定製</strong></p>
</div><p>Retailers can deploy the full Afresh platform with mobile and web applications, or integrate the platform's AI as a back-end engine within existing systems — without rebuilding their entire technology stack. Most enterprise grocery platforms require 12 to 18 months to implement. Afresh deployments are typically completed in under four months, without external system integrators.</p>
<div class="lb-trans"><p>零售商可以通過移動和網絡應用程序部署完整的 Afresh 平台，或將平台的人工智能作為現有系統中的後端引擎集成——而無需重建整個技術架構。大多數企業雜貨平台的實施需要 12 到 18 個月。Afresh 的部署通常在四個月內完成，無需外部系統集成商。</p>
</div><p>Retailers already using Afresh in fresh departments can expand coverage into center-store categories incrementally, without a new implementation.</p>
<div class="lb-trans"><p>已經在生鮮部門使用 Afresh 的零售商可以逐步擴展到中心商店類別，而無需新的實施。</p>
</div><p>Afresh has prevented more than 200 million pounds of food waste since its founding. With today's expansion, grocers can manage every item — from a head of lettuce to a box of cereal to a tube of shampoo — with the same level of precision and profitability while reducing waste across the food supply chain.</p>
<div class="lb-trans"><p>自成立以來，Afresh 已防止超過 2 億磅的食品浪費。隨着今天的擴展，雜貨商可以以相同的精確度和盈利能力管理每個項目——從一顆生菜到一盒穀物再到一管洗髮水——同時減少食品供應鏈中的浪費。</p>
</div><p>The era of managing fresh departments, center store, and supply chain decisions on separate systems is over.</p>
<div class="lb-trans"><p>管理生鮮部門、中心商店和供應鏈決策在不同系統上的時代已經結束。</p>
</div><p><strong>About Afresh</strong></p>
<div class="lb-trans"><p><strong>關於 Afresh</strong></p>
</div><p>Afresh is the world's leading Grocery AI company, purpose-built for how grocery stores actually operate — from fresh department to center store items, and stores to distribution centers. Its platform helps grocers decide what to buy, order, produce, and sell across the entire operation. The result is higher profits, less waste, and fresher food on the shelf. Founded in 2017 with the mission to eliminate food waste and make fresh food accessible to all, Afresh today supports operations in more than 12,000 departments across 40 states. Partners include Albertsons Companies, Brookshire Brothers, Stater Bros., Meijer, and Wakefern. Learn more at www.afresh.com.</p>
<div class="lb-trans"><p>Afresh 是全球領先的雜貨人工智能公司，專為雜貨店的實際運營而設計——從生鮮部門到中心商店商品，以及商店到配送中心。其平台幫助雜貨商決定購買、訂購、生產和銷售的商品，覆蓋整個運營過程。最終結果是更高的利潤、更少的浪費和貨架上更新鮮的食品。Afresh 成立於 2017 年，使命是消除食品浪費，使新鮮食品對所有人都可獲得，目前在 40 個州的 12,000 多個部門支持運營。合作伙伴包括 Albertsons Companies、Brookshire Brothers、Stater Bros.、Meijer 和 Wakefern。瞭解更多信息，請訪問 www.afresh.com。</p>
</div><p>SOURCE Afresh Technologies</p>
<div class="lb-trans"><p>來源：Afresh Technologies</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://rt.prnewswire.com/rt.gif/query-RGF0ZUlkPTIwMjYwMzE3Jk5ld3NJdGVtSWQ9U0YxMjE5NCZUcmFuc21pc3Npb25fSWQ9MjAyNjAzMTcxMTAyUFJfTkVXU19VU1BSX19fX19TRjEyMTk0" alt="" original-src="https://rt.prnewswire.com/rt.gif?NewsItemId=SF12194&amp;Transmission_Id=202603171102PR_NEWS_USPR_____SF12194&amp;DateId=20260317"/></p>

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