In a blog post announcing the Consumer Goods Cloud, Director of Content Programs Nick Johnson noted that retailers using the company’s Commerce Cloud are looking to translate the advantages of ecommerce – such as easily buying products or having real-time visibility into data trends – to the in-store experience.
In 2017, he added, some large consumer goods brands on the Salesforce platform noted that they didn’t “have a solution to arm our field reps with the information they need to maximize the selling potential in store.” Field reps deliver and monitor products in specific retail locations.
In another blog post on both clouds, Salesforce Industries EVP and GM Jujhar Singh noted that manufacturers’ physical operations “can’t be easily modified to meet changing customer needs,” making intelligent planning all the more essential.
These two new industry-oriented clouds join Salesforce’s growing portfolio of clouds designed for specific industries, including the Financial Services Cloud and the Health Cloud.
The Manufacturing Cloud offers functions for sales and operations teams, and is intended to help forecast, plan and drive business in that sector. It was created in a pilot program with collaboration from such major manufacturers as Kawasaki Motors U.S.A./Engines Division, Hitachi Chemical, CF Industries, Mipx and Gelita.
This Cloud offers:
Outside of the Manufacturing Cloud, there are also new manufacturing-specific capabilities in the Salesforce Customer 360 Platform:
The Consumer Goods Cloud, part of the Salesforce Customer 360 Platform, is designed to boost the ability of retailers to get “the right products to the right stores at the right time,” Salesforce said in its announcement. It added that its research shows nearly half of consumer goods leaders reported having no digital tools to track that “right products” flow, and noted that 95% of consumer goods are still sold in physical stores.
Here are screenshots of the Consumer Goods Cloud:
This Cloud is intended to support field reps, streamline operations and boost in-store experiences through several capabilities:
Additionally, Einstein Analytics for Consumer Goods offers AI-driven recommendations and data for such KPIs as percent orders increase per store visit.
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