Accenture intelligent revenue growth
Help your business drive top-line revenue growth and margin improvements by leveraging right data and advanced AI and machine learning models.
High-tech companies are shifting their business models to solution-based offerings to ensure the longevity of their businesses. Our AI-driven solutions can help generate the much-needed funds by addressing four key customer-related challenges:
Robust AI-enhanced solutions are needed to make sense of disparate data records to most effectively leverage omni-channel targeting.
AI solutions help enable providers to identify hidden patterns and nuances to personalize treatments at scale and standardize engagement.
Broad, diverse portfolios make it difficult to personalize offers. AI-powered solutions leverage robust algorithms to match customers and products.
For customer retargeting, real-time data streaming architectures allow the use of same-session signals to generate the best offer from the very onset.
Small and medium businesses (SMBs) are struggling to survive amid the COVID-19 crisis.
Many SMBs were forced to close permanently due to restrictions and evaporating demand. The ones that are still alive have undergone a tumultuous change in how they do business. And they must urgently transition to come out stronger and better after the crisis.
Saddled with shrinking budgets and strained cash flow, SMBs have to bridge the gap between digital and in-person experiences and ensure employee and customer safety.
That’s where “big” can step up and help “small”: High tech companies can equip SMBs with the intelligent technology they need to rebound.
This infographic describes how and why ‘big’ High Tech can help SMBs thrive with the adoption of an Intelligent Revenue Growth (IRG) platform.
Accenture's Intelligent Revenue Growth solution brings together data and advanced AI and machine learning models to help drive top-line revenue growth and margin improvements. The solution enables high-tech companies to increase margin through:
Increase profitable customer acquisition and retention, grow engagement, and maximize value by more deep understanding.
Optimize how, when, and where to sell in a targeted and more granular way, by outlet.
Predict customer desire, help improve product design, and optimize supply and pricing to drive faster time to market.
Feeding rich and relevant first- and third-party data, and web data, into advanced AI and machine learning models to generate insights. This helps providers protect and further monetize their existing customer base and attract new customers.
Transforming to XaaS models takes grit, but the benefits are far-reaching. Read how companies are changing.
Discover how the right combination of data, analytics and machine learning ensures competitive pricing.