Salesforce just did the IBM Watson move on their commerce platform
热度趋势
趋势数据积累中
百分比基于当前可用热度信号，而非评论数或独立用户人数。
Salesforce于7月6日将其B2C商务平台更名为Agentforce，此举在大多数人看来并未引起关注。然而，这一变化在Commerce Cloud自2018年以来市场份额持续下滑的背景下显得更有意义，因为Shopify Plus已开始侵蚀SFCC多年来一直占据的市场。此举被比作IBM Watson的策略，暗示着一种潜在的转变，最终可能会影响零售商。零售商对集成成本的感知速度很快，尤其是在销售旺季期间，他们会直接感受到这些成本。
Salesforce renamed their B2C commerce platform to Agentforce on July 6, which landed under the radar for most people, but makes more sense once you've watched Commerce Cloud lose ground since 2018, when Shopify Plus started eating the market SFCC had been comfortable owning for years.
The problem was never the technology, because Salesforce built a capable platform but positioned it as a CRM company doing commerce.
Which meant every product decision went through a lens that made sense for enterprise SaaS and not for retailers who needed to ship fast and survive Black Friday without calling their SI partner at midnight.
And Shopify solved for those things natively because it started there, and Salesforce never caught up on that gap.
Renaming Commerce Cloud to Agentforce is, at bottom, a positioning retreat, because they're moving the commerce layer under the AI umbrella so the failure is harder to measure as a standalone product, and the enterprise retailers who were already evaluating alternatives now have one fewer reason to give SFCC another contract cycle, which isn't an accident.
Enterprise retailers leaving SFCC are shopping a short list, where commercetools gets named most on the enterprise side, SCAYLE has been picking up a specific type of account (mostly the ones with multi-brand or multi-country complexity who found commercetools required more developer headcount than they could justify), and the Agentforce rebrand probably accelerates that shift because retailers who were already nervous about Salesforce's commitment to commerce just got confirmation.
What's worth watching is the pattern, because Salesforce doing this is the same thing IBM did with Watson and Oracle does with every acquisition that doesn't pan out, which is to put an AI frame around the failure and rename it and wait for the market to re-rate the product.
And it works until it doesn't, and retailers are a market that tends to figure out the difference faster than most because they feel the integration cost directly every time peak season hits.