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The annual SAP Innovation Awards honor and celebrate the achievements of future-minded companies and individuals that have harnessed the power of the latest SAP products and cloud technologies to become an intelligent, sustainable enterprise.
Their outstanding efforts help them thrive in new business realities, and create positive economic, environmental and/or social impact to help the world run better.

This is an opportunity for companies to showcase their successes and highlight their innovation leadership. Each year, SAP Innovation Awards winners set new standards for creating value, contributing to communities, and improving lives through technology innovation — essentially making a difference in improving people’s lives.

In 2023, the Innovation Awards celebrates its 10th anniversary.

This year’s participants made the most out of AI to grow efficiencies across all business processes and gain the foresight needed to outpace their competition:

  • by leveraging embedded AI scenarios built into the SAP applications

  • by deploying custom AI models in SAP applications

  • by infusing business specific AI models in their own apps

Here are the winning projects including artificial intelligence that caught our attention:

Avaya Corporation
using Document Information Extraction, one of the SAP AI Business Services, in SAP Build Process Automation to automate invoice editing processes.
Key outcomes:
800 hours of effort saved every year with process automation
91% efficiency and precision in SAP Concur invoice audit process

🏆 Winner in the Business Innovator category
"Transitioning into an intelligent enterprise will happen by prioritizing optimization of processes. Identifying elimination of waste is a key priority followed by automation to improve productivity and customer experience. Together with SAP S/4HANA and SAP Business Technology Platform (BTP), we deliver world class enterprise automation."
Avaya Corporation

HomeMade using Document Information Extraction, one of the SAP AI Business Services, to enable self-managed aged care.
Key outcomes:
50% reduction in reimbursement time
$5.5K customer save annually on average in management fees

🏆 Winner in the Industry Leader category

"HomeMade’s vision is to transform home care in Australia and we are continuously building our capabilities -being teams, processes or technology. With that in mind, we decided to go with SAP BTP because we wanted a secure customer-led solution to provide an excellent customer and team experience, whilst supporting our ambitious growth objectives. We now have a platform that we are excited to innovate and iterate from."
Laura Westhorpe, General Manager, HomeMade

Blue Diamond Growers using machine learning algorithms embedded in SAP Integrated Business Planning, SAP Analytics Cloud and SAP Transportation Management to build a world-class supply chain.
Key outcomes:
99% order fill rates
$1M in annual logistics savings

🏆 Winner in the Transformation Titan category
“By leveraging the SAP S/4HANA ecosystem, and specifically with SAP Transportation Management and SAP Business Network for Logistics, SAP Integrated Business Planning, and SAP Analytics Cloud, we have created the ideal foundation for an intelligent, data-driven cooperative that provides the best value for our growers.”
Steve Birgfeld, Vice President Information Technology and Services, Blue Diamond Growers

Huabao Holdings Limited Group using SAP AI Core and SAP AI Launchpad to power the core functionalities of their in-house Arobot solution that analyzes and predicts consumers' preferences, trawls scent knowledge, generates formulas, and recommends new fragrances catered specifically to different personalities.

🏆 Winner in the Transformation Titan category

IWB using machine learning algorithms from SAP Analytics Cloud and SAP Data Warehouse Cloud to predict solar power production in the city of Basel.
Key outcomes:
+8h forecast horizon
163k measuring values

🏆 Winner in the Cutting-Edge Genius category
"The increasing amount of decentralized solar photovoltaic systems represents a challenge for planning and operating our distribution grid. Without knowing how much power is actually being fed into the grid, a grid-friendly control of this renewable energy resource is difficult to achieve. The photovoltaic load profile calculated by using machine learning algorithms provides a helpful real-time insight into the low voltage grid."
Daniel Grossenbacher, Head of Asset Management, IWB

Oita University using machine learning algorithms from SAP HANA Cloud and SAP Analytics Cloud to detect and mitigate natural disasters.
Key outcomes:
40% increase in data granularity of disaster-response risk
15 hours to prepare proactive disaster countermeasures through early warning

🏆 Winning in the Sustainability Hero category

Walgreens Boots Alliance using Document Information Extraction, one of the SAP AI Business Services, to build a world-class scan-based trading solution.
Key outcomes:
11% decrease in invoicing errors
2-3 hours needed to run invoices on peak days

🏆 Winner in the Business Innovator category

Jumbo Supermarkten using machine learning algorithms from SAP HANA Cloud to ensure product availability while minimizing food waste.
Key outcomes:
10% expected reduction in food waste
73% employees indicate PAL 2.0 has made their job in the store easier

🏆 Winning in the Transformation Titan category
"In today’s grocery environment, ensuring product availability for our customers while minimizing food waste is more important than ever. Especially for fresh items we produce in-store. The sophisticated sales and production forecast of our PAL 2.0 solution now allows us to get that balance just right."
Tim Hehenkamp, Director Technology and Data, Jumbo

Siemens Gamesa Renewable Energy using machine learning algorithms embedded in SAP Field Service Management to harmonize field service processes.
Key outcomes:
4K+ users migrated in 25+ countries
75% reduction in field service apps

🏆 Winner in the Business Innovator category
"Our service teams across the various countries had been using various mobile platforms to support the execution on site. Now we have one core component, SAP Field Service Management, and it is easy to deploy. The feedback from our staff overall has been positive.”
Neil McLaren, Service Project Manager, Siemens Gamesa

Petrobras using machine learning algorithms embedded in SAP Asset Performance Management to track assets by monitoring sensors and indicators.
Key outcomes:
R$60M Reais savings
84% operational efficiency and reliability

🏆 Winner in the Adoption Champion category

Some of the winning teams will join us on-site at SAP Sapphire Orlando in a few days to talk about their successes with SAP.

In the meantime, let's take the time to congratulate the SAP Innovation Awards 2023 winners!

Explore the full list of winners here.

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