<p>Afresh 的人工智能平台现在管理着中心商店和一般商品的补货、库存和配送中心采购决策——每年已经订购超过 3.2 亿件中心商店商品。</p>
<p>, /PRNewswire/ -- Afresh，领先的杂货人工智能公司，今天宣布将 Afresh 平台扩展到整个杂货企业的每个部门——包括中心商店、冷冻、一般商品以及健康和美容，此外还有 Afresh 建立基础的生鲜区域。</p>
<p>杂货商现在可以在一个单一的杂货原生人工智能平台上管理补货、需求预测、库存管理和配送中心采购，覆盖每个部门。</p>
<p>&#34;几十年来，杂货技术是为包装商品而构建的，然后再适应生鲜，&#34; Afresh 的联合创始人兼首席执行官 Matt Schwartz 说。&#34;我们做了相反的事情。我们从商店中最困难的环境开始：生鲜——没有条形码的散装农产品、随机重量的肉类和熟食。一旦我们解决了这些问题，将这种智能扩展到商店的其他部分就变得可能。随着今天的扩展，杂货商可以在一个专门构建的杂货人工智能平台上管理整个商店的库存、补货和采购决策。&#34;</p>
<p>这使得 Afresh 成为唯一能够管理各部门每个项目的杂货人工智能平台，包括：</p>
<ul>
<li>没有条形码的散装和随机重量的农产品</li>
<li>次级肉类和熟食柜切割</li>
<li>热吧和面包店的熟食和配料项目</li>
<li>乳制品如牛奶和包装奶酪</li>
<li>包装杂货项目，包括意大利面和冷冻晚餐</li>
<li>洗碗液和其他家庭必需品</li>
<li>洗发水、护发素和美容产品</li>
</ul>
<p>Afresh 在所有部门的扩展建立在其管理生鲜部门内包装商品的现有经验之上。在过去一年中，该平台为耐储存商品下了超过 3.2 亿个订单。这些商品现在占总订单量的 33%，在面包店部门甚至高达 44%。</p>
<p><strong>一个平台，部门特定智能</strong></p>
<p>杂货部门在非常不同的约束下运作。谷物通道依赖稳定的 UPC、较长的保质期、箱装订购和可预测的促销计划。肉类柜和熟食项目必须处理随机重量的商品、店内生产和有限保质期的产品。</p>
<p>Afresh 是为处理这些差异而构建的。该平台运行一个单一的人工智能引擎，但通过针对每个部门的劳动模型调整的部门特定数据模型和工作流程，适应商店内不同的工作方式。它自动化了中心商店和生鲜部门的库存和采购决策：在农产品中，它帮助团队保持库存准确，而无需不断重新计算；在肉类和海鲜中，它将箱装、随机重量和切割决策直接纳入订购；在面包店和熟食中，它将采购和生产与每日需求和批次时间对齐——减少人工计算和中途重新规划。</p>
<p>这种部门特定的理解使系统得以运作，也解释了为什么商店团队在所有商品类型上遵循建议的遵循率超过 95%。结果是杂货商以前没有的东西：在一个系统上实现部门特定智能，提供从配送中心到货架的库存、需求和采购决策的共享视图。</p>
<p><strong>结束杂货系统碎片化</strong></p>
<p>杂货零售商历史上在一系列不连贯的系统中管理生鲜部门、中心商店和供应链操作。这种碎片化使得在商品、配送和商店操作之间协调决策变得困难——并且常常导致过剩、缺货和在供应链中累积的损失。</p>
<p>&#34;杂货商花了几十年时间与系统和数据的分散作斗争，试图强迫碎片化的数据在从未设计为连接的平台之间进行交流。这使得获得业务的完整图景几乎不可能，&#34;前 Loblaw Companies Limited 和 Sobeys 的首席信息官 Bruce Burrows 说。&#34;Afresh 采取了不同的方法。它们没有仅仅修补漏洞，而是构建了一个单一的人工智能原生系统，提供整个供应链的统一视图。&#34;</p>
<p>当采购、补货和库存在同一系统上运行时，这种协调会立即改变。一个为期两周的牛排促销在公司层面输入后，会自动调整商店的补货数量、改变配送中心的采购量，并更新生产计划——而无需任何人工交接。</p>
<p><strong>为您的现有系统量身定制</strong></p>
<p>零售商可以通过移动和网络应用程序部署完整的 Afresh 平台，或将平台的人工智能作为现有系统中的后端引擎集成——而无需重建整个技术架构。大多数企业杂货平台的实施需要 12 到 18 个月。Afresh 的部署通常在四个月内完成，无需外部系统集成商。</p>
<p>已经在生鲜部门使用 Afresh 的零售商可以逐步扩展到中心商店类别，而无需新的实施。</p>
<p>自成立以来，Afresh 已防止超过 2 亿磅的食品浪费。随着今天的扩展，杂货商可以以相同的精确度和盈利能力管理每个项目——从一颗生菜到一盒谷物再到一管洗发水——同时减少食品供应链中的浪费。</p>
<p>管理生鲜部门、中心商店和供应链决策在不同系统上的时代已经结束。</p>
<p><strong>关于 Afresh</strong></p>
<p>Afresh 是全球领先的杂货人工智能公司，专为杂货店的实际运营而设计——从生鲜部门到中心商店商品，以及商店到配送中心。其平台帮助杂货商决定购买、订购、生产和销售的商品，覆盖整个运营过程。最终结果是更高的利润、更少的浪费和货架上更新鲜的食品。Afresh 成立于 2017 年，使命是消除食品浪费，使新鲜食品对所有人都可获得，目前在 40 个州的 12,000 多个部门支持运营。合作伙伴包括 Albertsons Companies、Brookshire Brothers、Stater Bros.、Meijer 和 Wakefern。了解更多信息，请访问 www.afresh.com。</p>
<p>来源：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 是一家领先的杂货人工智能公司，已扩展其平台以管理所有杂货部门的补货、库存和采购决策，包括中心商店、冷冻食品以及健康与美容。这使得 Afresh 成为唯一能够处理每种商品类型的杂货人工智能平台，提高了效率并减少了食品浪费。该平台适应不同部门的独特需求，确保对库存和需求的统一视图。零售商可以快速实施 Afresh，通常在四个月内完成，从而增强供应链的协调性，最小化库存过剩和缺货情况</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 的人工智能平台现在管理着中心商店和一般商品的补货、库存和配送中心采购决策——每年已经订购超过 3.2 亿件中心商店商品。</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，领先的杂货人工智能公司，今天宣布将 Afresh 平台扩展到整个杂货企业的每个部门——包括中心商店、冷冻、一般商品以及健康和美容，此外还有 Afresh 建立基础的生鲜区域。</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>杂货商现在可以在一个单一的杂货原生人工智能平台上管理补货、需求预测、库存管理和配送中心采购，覆盖每个部门。</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;几十年来，杂货技术是为包装商品而构建的，然后再适应生鲜，&#34; Afresh 的联合创始人兼首席执行官 Matt Schwartz 说。&#34;我们做了相反的事情。我们从商店中最困难的环境开始：生鲜——没有条形码的散装农产品、随机重量的肉类和熟食。一旦我们解决了这些问题，将这种智能扩展到商店的其他部分就变得可能。随着今天的扩展，杂货商可以在一个专门构建的杂货人工智能平台上管理整个商店的库存、补货和采购决策。&#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>这使得 Afresh 成为唯一能够管理各部门每个项目的杂货人工智能平台，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>没有条形码的散装和随机重量的农产品</li>
<li>次级肉类和熟食柜切割</li>
<li>热吧和面包店的熟食和配料项目</li>
<li>乳制品如牛奶和包装奶酪</li>
<li>包装杂货项目，包括意大利面和冷冻晚餐</li>
<li>洗碗液和其他家庭必需品</li>
<li>洗发水、护发素和美容产品</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 在所有部门的扩展建立在其管理生鲜部门内包装商品的现有经验之上。在过去一年中，该平台为耐储存商品下了超过 3.2 亿个订单。这些商品现在占总订单量的 33%，在面包店部门甚至高达 44%。</p>
</div><p><strong>One Platform, Department-Specific Intelligence</strong></p>
<div class="lb-trans"><p><strong>一个平台，部门特定智能</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>杂货部门在非常不同的约束下运作。谷物通道依赖稳定的 UPC、较长的保质期、箱装订购和可预测的促销计划。肉类柜和熟食项目必须处理随机重量的商品、店内生产和有限保质期的产品。</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 是为处理这些差异而构建的。该平台运行一个单一的人工智能引擎，但通过针对每个部门的劳动模型调整的部门特定数据模型和工作流程，适应商店内不同的工作方式。它自动化了中心商店和生鲜部门的库存和采购决策：在农产品中，它帮助团队保持库存准确，而无需不断重新计算；在肉类和海鲜中，它将箱装、随机重量和切割决策直接纳入订购；在面包店和熟食中，它将采购和生产与每日需求和批次时间对齐——减少人工计算和中途重新规划。</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>这种部门特定的理解使系统得以运作，也解释了为什么商店团队在所有商品类型上遵循建议的遵循率超过 95%。结果是杂货商以前没有的东西：在一个系统上实现部门特定智能，提供从配送中心到货架的库存、需求和采购决策的共享视图。</p>
</div><p><strong>Ending System Fragmentation in Grocery</strong></p>
<div class="lb-trans"><p><strong>结束杂货系统碎片化</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>杂货零售商历史上在一系列不连贯的系统中管理生鲜部门、中心商店和供应链操作。这种碎片化使得在商品、配送和商店操作之间协调决策变得困难——并且常常导致过剩、缺货和在供应链中累积的损失。</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;杂货商花了几十年时间与系统和数据的分散作斗争，试图强迫碎片化的数据在从未设计为连接的平台之间进行交流。这使得获得业务的完整图景几乎不可能，&#34;前 Loblaw Companies Limited 和 Sobeys 的首席信息官 Bruce Burrows 说。&#34;Afresh 采取了不同的方法。它们没有仅仅修补漏洞，而是构建了一个单一的人工智能原生系统，提供整个供应链的统一视图。&#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>当采购、补货和库存在同一系统上运行时，这种协调会立即改变。一个为期两周的牛排促销在公司层面输入后，会自动调整商店的补货数量、改变配送中心的采购量，并更新生产计划——而无需任何人工交接。</p>
</div><p><strong>Built to Fit Your Existing Systems</strong></p>
<div class="lb-trans"><p><strong>为您的现有系统量身定制</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>零售商可以通过移动和网络应用程序部署完整的 Afresh 平台，或将平台的人工智能作为现有系统中的后端引擎集成——而无需重建整个技术架构。大多数企业杂货平台的实施需要 12 到 18 个月。Afresh 的部署通常在四个月内完成，无需外部系统集成商。</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>已经在生鲜部门使用 Afresh 的零售商可以逐步扩展到中心商店类别，而无需新的实施。</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>自成立以来，Afresh 已防止超过 2 亿磅的食品浪费。随着今天的扩展，杂货商可以以相同的精确度和盈利能力管理每个项目——从一颗生菜到一盒谷物再到一管洗发水——同时减少食品供应链中的浪费。</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>管理生鲜部门、中心商店和供应链决策在不同系统上的时代已经结束。</p>
</div><p><strong>About Afresh</strong></p>
<div class="lb-trans"><p><strong>关于 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 是全球领先的杂货人工智能公司，专为杂货店的实际运营而设计——从生鲜部门到中心商店商品，以及商店到配送中心。其平台帮助杂货商决定购买、订购、生产和销售的商品，覆盖整个运营过程。最终结果是更高的利润、更少的浪费和货架上更新鲜的食品。Afresh 成立于 2017 年，使命是消除食品浪费，使新鲜食品对所有人都可获得，目前在 40 个州的 12,000 多个部门支持运营。合作伙伴包括 Albertsons Companies、Brookshire Brothers、Stater Bros.、Meijer 和 Wakefern。了解更多信息，请访问 www.afresh.com。</p>
</div><p>SOURCE Afresh Technologies</p>
<div class="lb-trans"><p>来源：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>

ETAfresh 扩展其 AI 平台，不再局限于生鲜产品，而是覆盖商店中的每一件商品