Tools & Platforms
Mindsprint enhances ProcureSPRINT™ with Agentic AI to unlock up to 15% in procurement cost efficiencies
SINGAPORE, July 9, 2025 /PRNewswire/ — Mindsprint, a technology firm offering purpose-built AI-led solutions to modernize enterprise operations, today announced significant advancements to ProcureSPRINT™, its enterprise-grade AI platform designed to optimize procurement operations, accelerate decision-making, and deliver measurable cost efficiencies.
Building on its proven foundation, ProcureSPRINT™ now integrates advanced Agentic AI capabilities, empowering organizations to automate complex procurement processes, enhance supplier collaboration, and unlock hidden value levers that can drive procurement cost reductions of up to 15 percent.
ProcureSPRINT™ is built on a secure, scalable cloud infrastructure and offers a modular, plug-and-play architecture that meets the needs of procurement teams at varying maturity levels. Its Agentic AI-powered recommendation engine provides actionable insights to both operational teams and C-level leaders, ensuring organizations can achieve faster cycle times, improved supplier performance, and greater procurement transparency.
“As enterprises evolve, so must their procurement function. The latest enhancements to ProcureSPRINT™ reflect our commitment to strengthening the platform with advanced AI & intelligent automation to deliver practical insights that help organizations reduce costs, improve compliance, and achieve operational resilience,” said G Venkataramanan (GV), Head of Intelligence Enterprise Operations, Mindsprint. “Our Agentic AI approach allows teams to shift from manual execution to more autonomous, insight-driven procurement, delivering faster outcomes with reduced effort.”
ProcureSPRINT™’s suite of intelligent agents supports every stage of the procurement process, including:
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The Onboarding Assistant Agent streamlines supplier registration through a self-service portal.
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The RFx Agent simplifies competitive bidding and reverse auctions.
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The Deal Advisor Agent provides AI-enabled recommendations for award decisions that maximize savings and minimize risk.
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The Shipment Sentinel Agent offers real-time visibility into shipments and supplier performance.
In addition, the platform offers an advanced, digitized invoice processing system that supports omnichannel document capture, multi-lingual intelligent data extraction, real-time validation, and seamless ERP integration. Organizations using ProcureSPRINT™ achieve over 70 percent touchless invoice processing, significantly reducing manual workload and processing time.
Tools & Platforms
Kroger turns to AI for inventory security, experience boosts
Dive Brief:
- Kroger will continue investing in AI as tools enable better product visibility and productivity, leading to reduced inventory loss or shrink and improved talent retention, executives said during the grocer’s Q1 earnings call in June.
- “We’ve seen good progress [around shrink],” SVP and CFO David Kennerley said during the call. “What we really attribute this to is we’ve made some investments in some AI-enabled technology and deployed new processes around that technology.”
- The company also launched a virtual AI assistant for its associates, which it partly credited for record levels of store and company retention during the quarter. “When our associates stay longer, they learn more, take on additional responsibilities and deliver a better customer experience, which leads to better sales,” said interim CEO Ron Sargent.
Dive Insight:
Kroger is doubling down on AI while keeping savings top of mind, joining a cost-conscious group of businesses making similar moves.
The grocer will close 60 underperforming stores by the end of next year as it reassesses capital allocation and “aggressively” finds ways to reduce costs throughout the company, according to the earnings call.
Kroger sees AI and other technologies as part of the solution, too.
“The other thing that will also contribute towards better cost performance is what I call ways of working and process improvement,” Kennerley said. “There’s a lot of opportunity here to work smarter, more efficiently, more tech-enabled, and we’ve already got some good proof points on that.”
Excluding fuel, identical-store sales ticked up 3.2% during Q1 2025, which ended May 24, compared with the same period last year. Kroger characterizes a store as identical if it operates without expansion or relocation for five full quarters.
Kroger’s once-sought-after merger partner, Albertsons, has similarly sharpened its technology focus while eyeing cost-saving measures.
“Our North Star is to use technology in everything that we do,” Albertsons CEO Susan Morris said during the company’s Q4 2024 earnings report in April.
As part of the strategy, the Idaho-headquartered grocer plans to increase AI use to enhance product quality and monitoring for freshness as it looks to drive higher sales and better customer experiences.
The efforts also align with Albertsons’ three-year plan to cut $1.5 billion in costs that rolled out after the merger failed.
Tools & Platforms
AI-powered material discovery is reshaping the future of batteries
Scientists leverage artificial intelligence to overcome a major hurdle in zinc-ion battery development, paving the way for cheaper, greener, and more efficient energy storage.
In a significant leap forward for battery innovation, scientists from Singapore’s Nanyang Technological University and China’s Huaiyin Normal University have teamed up to create an AI-powered system that could drastically improve how rechargeable batteries are made.
Led by Dr. Edison Huixiang Ang from the NIE/NTU, the team has harnessed artificial intelligence (AI) to solve one of the biggest challenges in zinc-ion battery technology, preventing dendrite growth.
Zinc-ion batteries are a promising alternative to today’s lithium batteries. They are cheaper, safer, and better for the environment. But they have one big problem-tiny spikes called dendrites can grow inside the battery when it charges. These spikes can cause the battery to stop working or even short-circuit.
To solve this, Dr. Ang’s team turned to AI. Instead of testing materials one by one, the AI quickly checked over 168,000 different combinations. This smart approach led them to a special material made from cerium and iron, called a metal-organic framework (MOF), that helps stop the dangerous spikes from forming.
“AI helped us discover the right material quickly and at a lower cost,” Dr. Edison Ang told Tech Explorist. “This allows us to create safer batteries that are more sustainable for the future.”
The team also created a thin protective layer using this material. In tests, the new battery design worked for over 4,300 hours and stayed almost 100% efficient after 1,400 charge cycles-much better than regular batteries.
This discovery could be useful for electric cars, phones, and storing solar or wind energy. As we move toward a greener world, having strong and reliable batteries is more important than ever.
“AI is helping scientists everywhere work smarter,” said Dr. Ang. “It’s opening the door to new ideas that can change the world.”
Journal Reference
- Jianbo Dong, Guolang Zhou, Wenhao Ding, Jiayi Ji, Qing Wang, Tianshi Wang, Lili Zhang, Xiuyang Zou, Jingzhou Yin and Edison Huixiang Ang. Machine learning-assisted benign transformation of three zinc states in zinc ion batteries. Energy & Environmental Science, 2025,18, 4872-4882. DOI: 10.1039/D5EE00650C
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