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SAP

Also known as: SAP

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4
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Jul 10, 2026 – Oct 21, 2026
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company

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Conversational AI drives supply chain and backend efficiency

AWS combines Amazon Quick and Bedrock AgentCore for supply chain intelligence

Technology Services › Management, Scientific, and Technical Consulting Services › Process, Physical Distribution, and Logistics Consulting Services
ERPESB / iPaaS+1

Amazon Web Services unveiled a conversational supply chain platform pairing Amazon Quick (a no-code enterprise AI assistant) with Amazon Bedrock AgentCore (an agentic intelligence layer) to let supply chain managers query fragmented systems—ERP, procurement, monitoring, email—through plain-language chat and get live, cross-system answers in seconds instead of hours. For commerce practitioners, this pattern cuts decision latency by collapsing 45–60 minutes of manual system-hopping into a three-prompt conversation, while keeping every action gated for human approval and governed by deterministic policy rules.

Dynamic Product Catalogs Become Revenue-Generating AI Systems

Catalogy automates catalog production from weeks to seconds using product feeds

B2B Distribution › Motor Vehicle and Motor Vehicle Parts and Supplies Merchant Wholesalers › Automobile and Other Motor Vehicle Merchant Wholesalers
ERPEcommerce+1

Catalogy, a Flipsnack brand, enables B2B companies to generate product catalogs automatically from structured data feeds instead of manual layout work, reducing production cycles from months to seconds. For commerce teams, this eliminates outdated catalogs, enables real-time pricing updates, and transforms catalogs into interactive sales channels that capture buyer behavior and orders directly.

Enterprise Retailers Deploy AI Solutions for Peak Season

commercetools launches AI-powered Smart Data Modeler for product catalogs

Media / Information Technology › Software Publishers
EcommerceLLM+1

commercetools released Smart Data Modeler, an AI assistant that analyzes product data and proposes structured product types and attributes in minutes, reducing what traditionally took months of manual modeling work. For commerce teams migrating from legacy systems or preparing catalogs for AI shopping channels, this cuts migration risk, accelerates time-to-market, and frees technical resources from repetitive schema design.

Retailers Adopt AI for Supply Chain and Warehouse Automation

Scotts Miracle-Gro expands Kinaxis partnership for AI-driven supply chain

Manufacturing › Other Food Manufacturing › Coffee and Tea Manufacturing
DataERP+1

Scotts Miracle-Gro is scaling its partnership with Kinaxis to unify planning, decision-making, and execution across supply chain operations using AI, replacing manual workflows with a single intelligent platform. The move addresses peak-demand responsiveness challenges and enables real-time modeling of weather shifts and material constraints—critical capabilities for retailers managing seasonal inventory swings.