Swedish supply chain tech firm Kodiak Hub expands to U.S.
Firm says its supplier relationship management (SRM) software can help chief procurement officers and strategic sourcing managers deal with tariff and regulatory changes.
Ben Ames has spent 20 years as a journalist since starting out as a daily newspaper reporter in Pennsylvania in 1995. From 1999 forward, he has focused on business and technology reporting for a number of trade journals, beginning when he joined Design News and Modern Materials Handling magazines. Ames is author of the trail guide "Hiking Massachusetts" and is a graduate of the Columbia School of Journalism.
The Swedish supply chain software company Kodiak Hub is expanding into the U.S. market, backed by a $6 million venture capital boost for its supplier relationship management (SRM) platform.
The Stockholm-based company says its move could help U.S. companies build resilient, sustainable supply chains amid growing pressure from regulatory changes, emerging tariffs, and increasing demands for supply chain transparency.
According to the company, its platform gives procurement teams a 360-degree view of supplier risk, resiliency, and performance, helping them to make smarter decisions faster. Kodiak Hub says its artificial intelligence (AI) based tech has helped users to reduce supplier onboarding times by 80%, improve supplier engagement by 90%, achieve 7-10% cost savings on total spend, and save approximately 10 hours per week by automating certain SRM tasks.
The Swedish venture capital firm Oxx had a similar message when it announced in November that it would back Kodiak Hub with new funding. Oxx says that Kodiak Hub is a better tool for chief procurement officers (CPOs) and strategic sourcing managers than existing software platforms like Excel sheets, enterprise resource planning (ERP) systems, or Procure-to-Pay suites.
“As demand for transparency and fair-trade practices grows, organizations must strengthen their supply chains to protect their reputation, profitability, and long-term trust,” Malin Schmidt, founder & CEO of Kodiak Hub, said in a release. “By embedding AI-driven insights directly into procurement workflows, our platform helps procurement teams anticipate these risks and unlock major opportunities for growth.”
The “D&B Ask Procurement” product works by synthesizing vast datasets and providing intelligent recommendations, according to Dun & Bradstreet, which calls itself a provider of business decisioning data and analytics.
It was built with IBM’s watsonx Orchestrate and watsonx.ai technology with support from IBM Consulting, and connects to Dun & Bradstreet’s business risk, financial, and firmographic data and insights. It then uses a conversational chat interface to provide advanced reasoning capabilities and autonomous decision making, helping teams to query critical supplier insights, expedite analysis and reporting, and identify suppliers for engagement, the partners said.
“One key point of entry for Gen AI adoption is AI assistants, and together IBM and Dun & Bradstreet are collaborating to bring clients new innovations within the procurement domain,” Parul Mishra, Vice President of Product Management, Digital Labor at IBM, said in a release. “With D&B Ask Procurement, an AI assistant built on the foundation of watsonx Orchestrate, users can seamlessly complete tasks and automate complex processes with natural language, helping drive efficiency, cost-savings and higher productivity.”
Progress in generative AI (GenAI) is poised to impact business procurement processes through advancements in three areas—agentic reasoning, multimodality, and AI agents—according to Gartner Inc.
Those functions will redefine how procurement operates and significantly impact the agendas of chief procurement officers (CPOs). And 72% of procurement leaders are already prioritizing the integration of GenAI into their strategies, thus highlighting the recognition of its potential to drive significant improvements in efficiency and effectiveness, Gartner found in a survey conducted in July, 2024, with 258 global respondents.
Gartner defined the new functions as follows:
Agentic reasoning in GenAI allows for advanced decision-making processes that mimic human-like cognition. This capability will enable procurement functions to leverage GenAI to analyze complex scenarios and make informed decisions with greater accuracy and speed.
Multimodality refers to the ability of GenAI to process and integrate multiple forms of data, such as text, images, and audio. This will make GenAI more intuitively consumable to users and enhance procurement's ability to gather and analyze diverse information sources, leading to more comprehensive insights and better-informed strategies.
AI agents are autonomous systems that can perform tasks and make decisions on behalf of human operators. In procurement, these agents will automate procurement tasks and activities, freeing up human resources to focus on strategic initiatives, complex problem-solving and edge cases.
As CPOs look to maximize the value of GenAI in procurement, the study recommended three starting points: double down on data governance, develop and incorporate privacy standards into contracts, and increase procurement thresholds.
“These advancements will usher procurement into an era where the distance between ideas, insights, and actions will shorten rapidly,” Ryan Polk, senior director analyst in Gartner’s Supply Chain practice, said in a release. "Procurement leaders who build their foundation now through a focus on data quality, privacy and risk management have the potential to reap new levels of productivity and strategic value from the technology."
A new survey finds a disconnect in organizations’ approach to maintenance, repair, and operations (MRO), as specialists call for greater focus than executives are providing, according to a report from Verusen, a provider of inventory optimization software.
Nearly three-quarters (71%) of the 250 procurement and operations leaders surveyed think MRO procurement/operations should be treated as a strategic initiative for continuous improvement and a potential innovation source. However, just over half (58%) of respondents note that MRO procurement/operations are treated as strategic organizational initiatives.
That result comes from “Future Strategies for MRO Inventory Optimization,” a survey produced by Atlanta-based Verusen along with WBR Insights and ProcureCon MRO.
Balancing MRO working capital and risk has become increasingly important as large asset-intensive industries such as oil and gas, mining, energy and utilities, resources, and heavy manufacturing seek solutions to optimize their MRO inventories, spend, and risk with deeper intelligence. Roughly half of organizations need to take a risk-based approach, as the survey found that 46% of organizations do not include asset criticality (spare parts deemed the most critical to continuous operations) in their materials planning process.
“Rather than merely seeing the MRO function as a necessary project or cost, businesses now see it as a mission-critical deliverable, and companies are more apt to explore new methods and technologies, including AI, to enhance this capability and drive innovation,” Scott Matthews, CEO of Verusen, said in a release. “This is because improving MRO, while addressing asset criticality, delivers tangible results by removing risk and expense from procurement initiatives.”
Survey respondents expressed specific challenges with product data inconsistencies and inaccuracies from different systems and sources. A lack of standardized data formats and incomplete information hampers efficient inventory management. The problem is further compounded by the complexity of integrating legacy systems with modern data management, leading to fragmented/siloed data. Centralizing inventory management and optimizing procurement without standardized product data is especially challenging.
In fact, only 39% of survey respondents report full data uniformity across all materials, and many respondents do not regularly review asset criticality, which adds to the challenges.