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Accenture and Google Cloud to Spur AI-Led Industry Transformation, Starting with Retail and Consumer Packaged Goods Companies
August 23, 2021 News


Accenture and Google Cloud announced on Friday, August 20, the launch of the Accenture-Google Cloud Data & AI (AGDA) initiative to help enterprises across Asia Pacific, the Middle East and Africa harness the power of data and artificial intelligence (AI) to transform customer experience, anticipate trends and accelerate business outcomes. The AGDA initiative will create new value across the enterprise from data and AI, develop industry-specific solutions and assets to help accelerate cloud adoption and bolster the region’s data and AI talent development agenda. It will initially focus on the retail and CPG industries, responding to the rapidly changing needs and disruptions faced by companies in these industries.

The initiative is built on top of an existing collaboration of the Accenture-Google Cloud Business Group (AGBG), combining Accenture’s in-depth industry expertise, offerings and assets in data and AI with Google Cloud’s leading data and AI technology and platforms. According to IDC estimates, spending on AI platforms and applications by enterprises in Asia Pacific (excluding Japan and China) is set to increase by a five-year CAGR of 30%, rising from US$753.6 million in 2020 to US$2.2 billion in 2024.

With 2.5 quintillion bytes of data created every day and over 50% of data analytics leaders working with data in the edge environments by 2023, there is a growing opportunity to help further business transformation and growth. This is further reinforced by Accenture’s Technology Vision 2021 report, which outlined that over the next year enterprises will be prioritising their investments more on cloud and AI.

“AI and machine learning-based insights have quickly become an important asset with increasing pressure on enterprises to be more responsive, customer-obsessed and market-relevant”, said Fabio Vacirca, senior managing director and market unit lead of Australia and New Zealand, Southeast Asia, India, Africa and the Middle East at Accenture. “Cloud plays a fundamental role to harness the power of AI. We are dedicated to helping clients become cloud-first businesses and accelerate their digital transformation to realise greater value at speed and scale. Collaborating with Google Cloud, we help clients with value-led transformation that is business function-focused, AI-powered and cloud-based”.

For a retailer, Accenture helped track how customers were searching for its seven key brands and simultaneously keep an eye on what its competitors were doing. Accenture developed a solution that collated data from Google Cloud-enabled sources and automatically classified it in Google BigQuery, which reported the data into Google Data Studio, thereby unlocking the insights it needed. What resulted was a centralised and streamlined approach to monitoring and responding in real-time. The client optimised keyword opportunities for each brand and type of search and responded with the right content and media strategy across 50 countries.

AGDA will initially focus on three major growth areas for retailers and CPG companies:

  • Creating intelligent supply chains: Modernising the enterprise data supply chain through cloud migration will help create supply chains capable of optimised inventory management and accurate demand forecasting.
  • Increasing customer loyalty and sales: A 360-degree view of the customer delivered by AI-based customer data platforms will drive improved customer loyalty and overall sales/revenue in an omnichannel journey.
  • Enhancing end-customer engagement and experience: AI-powered customer care solutions across various channels means being able to help a customer faster, anytime and anywhere.

“AI is still nascent across industries today. Customers want to use it but need help understanding how”, said Karan Bajwa, vice president for Google Cloud in Asia Pacific. “Our strategic partnership with Accenture will see us working with organisations to build new capabilities and cultivating their own AI-skilled in-house talent in order to reimagine entire business functions, drive increased operational efficiency and advance customer engagement”.