Google Cloud has introduced new initiatives with Accenture to assist retailers modernize their companies and profit from cloud expertise, together with updates to Accenture’s widely-adopted ai.RETAIL platform. These integrates Google Cloud’s main capabilities in information analytics, AI, and product discovery. The 2 corporations additionally dedicated to go-to-market initiatives to offer retailers with the expertise and sources wanted to remodel retailer operations, increasing on joint buyer successes.
ai.RETAIL for Google Cloud
Accenture’s ai.RETAIL is an built-in resolution that helps retailers higher make the most of information and synthetic intelligence (AI) to optimize widespread programs and applications, resembling buyer acquisition, pricing and promotions, assortment, and provide chains. Beginning right this moment, retailers can deploy the ai.RETAIL platform on Google Cloud, that means it’s now prolonged to Google Cloud’s trusted infrastructure, and is built-in with a number of Google Cloud merchandise and capabilities. The brand new options and advantages of the answer embody:
Centralized provide chain evaluation: ai.RETAIL features a provide chain management tower powered by Accenture’s Clever Provide Chain Platform. With deeper integration throughout Google Cloud’s well-liked merchandise, resembling Looker and BigQuery, prospects can now higher set up information and supply a real-time view of their most important provide chain metrics, together with procurement, logistics, stock, and gross sales. Retailers can then run “what if” simulations, calibrate demand forecasting, enhance stock planning, formulate methods for provide chain segmentation, and extra.
Customized buyer experiences: ai.RETAIL now leverages Google Cloud’s Discovery AI options for retail, which may cut back search abandonment via Google-quality search capabilities, ship personalised suggestions at scale, and assist consumers discover merchandise with photographs. Extra integrations with Accenture’s Buyer Knowledge Structure and Google Cloud’s Buyer Knowledge Platform will let retailers break information silos and drive predictive advertising and marketing engagements with AI or machine studying.
Assortment optimization: Utilizing BigQuery, Looker, and Vertex AI, ai.RETAIL now options new retailer clustering capabilities that may assist retailers establish, group, and optimize shops with comparable traits, enhancing methods for assortment, house administration, and stock. This contains suggestions for whether or not to keep up, cut back, or drop particular merchandise, which might be filtered by particular person shops or retailer clusters, and in the end enhance general gross sales efficiency.
Serving to retailers modernize shops
Google Cloud and Accenture are additionally collaborating on a broad, new initiative to handle advanced challenges dealing with retailers, together with making use of intelligence from ai.RETAIL to assist companies optimize their buyer, workforce, and storefront experiences, and using different applied sciences and choices from each corporations. With improved data of end-to-end operations, retailers will be capable of apply Accenture and Google Cloud expertise to modernize elementary elements of their enterprise.
“Retailers require options that allow them to holistically analyze their companies and create worth throughout their useful boundaries, however they’re usually restricted by siloed information and legacy infrastructure,” stated Carrie Tharp, vp of retail and client, Google Cloud. “By way of our work with Accenture, retailers can shortly undertake built-in options that apply the most effective of Google Cloud expertise and ship the true advantages of AI and ML, with instruments and capabilities that permit them to repeatedly optimize their enterprise for right this moment’s advanced retail setting.”
“With shifting client shopping for habits, now greater than ever, retailers must spend money on constructing a digital core—which features a stable information basis, machine studying, and AI. Powered by cloud, these applied sciences will help our shoppers spot developments, make selections sooner, and repeatedly reset the enterprise because the market adjustments,” stated Jill Standish, a senior managing director at Accenture who leads its Retail business observe.
ai.RETAIL for Google Cloud
Accenture’s ai.RETAIL is an built-in resolution that helps retailers higher make the most of information and synthetic intelligence (AI) to optimize widespread programs and applications, resembling buyer acquisition, pricing and promotions, assortment, and provide chains. Beginning right this moment, retailers can deploy the ai.RETAIL platform on Google Cloud, that means it’s now prolonged to Google Cloud’s trusted infrastructure, and is built-in with a number of Google Cloud merchandise and capabilities. The brand new options and advantages of the answer embody:
Centralized provide chain evaluation: ai.RETAIL features a provide chain management tower powered by Accenture’s Clever Provide Chain Platform. With deeper integration throughout Google Cloud’s well-liked merchandise, resembling Looker and BigQuery, prospects can now higher set up information and supply a real-time view of their most important provide chain metrics, together with procurement, logistics, stock, and gross sales. Retailers can then run “what if” simulations, calibrate demand forecasting, enhance stock planning, formulate methods for provide chain segmentation, and extra.
Customized buyer experiences: ai.RETAIL now leverages Google Cloud’s Discovery AI options for retail, which may cut back search abandonment via Google-quality search capabilities, ship personalised suggestions at scale, and assist consumers discover merchandise with photographs. Extra integrations with Accenture’s Buyer Knowledge Structure and Google Cloud’s Buyer Knowledge Platform will let retailers break information silos and drive predictive advertising and marketing engagements with AI or machine studying.
Assortment optimization: Utilizing BigQuery, Looker, and Vertex AI, ai.RETAIL now options new retailer clustering capabilities that may assist retailers establish, group, and optimize shops with comparable traits, enhancing methods for assortment, house administration, and stock. This contains suggestions for whether or not to keep up, cut back, or drop particular merchandise, which might be filtered by particular person shops or retailer clusters, and in the end enhance general gross sales efficiency.
Serving to retailers modernize shops
Google Cloud and Accenture are additionally collaborating on a broad, new initiative to handle advanced challenges dealing with retailers, together with making use of intelligence from ai.RETAIL to assist companies optimize their buyer, workforce, and storefront experiences, and using different applied sciences and choices from each corporations. With improved data of end-to-end operations, retailers will be capable of apply Accenture and Google Cloud expertise to modernize elementary elements of their enterprise.
“Retailers require options that allow them to holistically analyze their companies and create worth throughout their useful boundaries, however they’re usually restricted by siloed information and legacy infrastructure,” stated Carrie Tharp, vp of retail and client, Google Cloud. “By way of our work with Accenture, retailers can shortly undertake built-in options that apply the most effective of Google Cloud expertise and ship the true advantages of AI and ML, with instruments and capabilities that permit them to repeatedly optimize their enterprise for right this moment’s advanced retail setting.”
“With shifting client shopping for habits, now greater than ever, retailers must spend money on constructing a digital core—which features a stable information basis, machine studying, and AI. Powered by cloud, these applied sciences will help our shoppers spot developments, make selections sooner, and repeatedly reset the enterprise because the market adjustments,” stated Jill Standish, a senior managing director at Accenture who leads its Retail business observe.