The Hackett Group® Announces Winners of the 2025 Hackett Innovation Awards
Bosch,
The 2025 Hackett Innovation Award winners and their win categories are: Bosch (Purchase-to-Pay),
“These companies aren’t just adopting AI – they’re building intelligent systems that solve real business problems at scale,” said
Key trends highlighted by Kumar and other judges include:
- Hyper-automation at scale: Leading companies are using Gen AI and agentic automation to transform entire end-to-end processes – cutting cycle times, eliminating manual tasks and generating return on investment (ROI) in record time.
- Domain-specific innovation: From clinical oncology to agricultural procurement, organizations are embedding AI into the core of industry-specific workflows to drive breakthrough performance.
- Rapid ROI realization: All winners achieved measurable returns within 3-12 months, with some exceeding 2,500% ROI – proving that well-targeted AI investments deliver immediate business value.
This year’s winners are:
Bosch: Winner, Purchase-to-Pay: Agentic AI-Based Processing of Dunning Inquiries in Invoice-to-Pay (I2P)
The
Concerned about delays in revenue realization due to high end-to-end order fulfillment cycle times and a large volume of backlogged orders, the
Johnson & Johnson: Winner,
Since its launch in 2020, JAIDA (J&J Artificial Intelligence Digital Assistant) had matured from a limitedly featured chatbot to a much broader Gen AI product. As the sophistication and reach of the program grew, J&J Global Services began to develop a five-stage methodology for delivering automations within J&J. Now engaged with 11 different internal functions focused on improving the employee digital experience and creating measurable value for J&J over the next three years, use case level investment payback is expected within 12 to 18 months. More importantly, company leaders see the investment as laying the groundwork for future growth and innovation.
McCormick & Company, Inc.: Winner, Source-to-Purchase: Project IRMA (Iconic Raw Materials Analysis)
McCormick & Company, Inc., a global leader in flavor and a prominent purchaser of agricultural products, sought to identify the optimal purchasing windows to maintain supply flexibility and strengthen its competitive advantage. In response, McCormick’s procurement team partnered with their data and analytics colleagues to develop a sophisticated predictive system named Iconic Raw Materials Analytics (IRMA). By harnessing the power of machine learning and AI-driven insights from agricultural, economic, weather and futures datasets, IRMA has evolved into a key strategic tool, seamlessly integrated into the company’s sourcing strategies. Since its implementation, this cloud-based solution has consistently demonstrated its value by enhancing efficiency and impact across the business.
Roche Turkiye: Winner, Business Operations: Clinical Data Platform for Oncology
Most Hackett Innovation Award winners save money and time. Roche Turkiye’s Clinical Data Platform for Oncology is also on track to save the lives of thousands of Turkish women. The AI-powered clinical data platform is designed to standardize and optimize breast cancer treatment processes across provincial healthcare systems. In the four-month pilot phase, 25% of patients achieved better treatment, as their healthcare providers followed the AI agent’s treatment recommendations. One positive side effect was that over the following four months – as the number of healthcare professionals enrolled in the program grew by 50% – ROI topped 2,500% because early treatment is not only more effective, it’s also cheaper.
Schneider Electric: Winner, Plan-to-Source-to-Make-to-Deliver:
Seeing an opportunity to augment data from traditional enterprise resource planning systems with information from business intelligence systems like adding material waste, part composition and very granular market information – all factors essential for accurate cost forecasting – Schneider Electric GSC Data & Analytics and its
“The award-winning organizations have found operational areas where they have designed, developed and implemented AI solutions in their production environments,” said
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