AI-driven pricing strategies likely to give logistics firms competitive edge: McKinsey
New Delhi, July 17
Logistics companies that move quickly to adopt AI-driven pricing strategies are likely to gain a competitive advantage, as pricing becomes an increasingly important driver of profitability alongside cost control and sales growth, according to a McKinsey report.
The report said advances in artificial intelligence are making it easier for logistics operators to improve pricing decisions, automate pricing processes and better match prices with customer demand and network efficiency. It noted that companies relying only on cost discipline and volume growth may struggle to keep pace as AI reshapes the sector.
"For logistics companies, cost discipline and sales growth alone are not enough. Companies that can move quickly to reimagine their pricing are likely to find advantages in the AI era," the report said.
According to the report, logistics companies should focus on four key pricing strategies: identifying customers' willingness to pay using advanced analytics, digitising contract and deal reviews, using pricing to optimise logistics networks, and automating price execution through AI-powered workflows. It said recent advances in generative AI and agentic AI have significantly reduced the barriers to implementing these capabilities.
The report noted that AI-powered analytical tools can process structured and unstructured data to improve pricing decisions, while digitised deal reviews can help companies use historical contract information more effectively during negotiations. It added that digital twins can help operators better understand network economics, enabling them to price freight more accurately based on cost, demand and operational risk.
On execution, the report said agentic AI can automate activities such as request-for-quote responses, order entry and rate updates, helping reduce administrative costs and revenue leakage while improving response times. In one example cited by McKinsey, an AI-powered solution reduced response time for non-standard customer requests from four hours to two minutes.
McKinsey's analysis of 21 logistics companies over the 2017-2022 period found that the top-performing companies increased prices 20 per cent faster annually than the median. It also found that most companies delivering top-quartile earnings before interest and taxes (EBIT) growth were also among the strongest performers in price growth, highlighting pricing as an important contributor to financial performance.
— ANI
Reader Comments
Meanwhile, I still get quoted different rates from different local transport guys for the same route. AI pricing sounds like a dream for better transparency. McKinsey reports are always eye-opening but implementation on ground in India is a different ball game entirely. 😅
The comparison between top performers and median firms is telling. In competitive markets like logistics, even a small edge matters. India's logistics sector is ripe for digital disruption, and AI pricing could be the catalyst. Hope to see more Indian startups developing such solutions.
I'm skeptical. In India, pricing is not just about data and algorithms - it's about relationships, negotiation, and local knowledge. AI might work in controlled environments, but our roads, traffic, and regulatory chaos will challenge any model. Let's see how this plays out in real Indian conditions.
The example of reducing response time from 4 hours to 2 minutes is exactly what we need! Small businesses like mine struggle with slow vendor responses. If AI can streamline pricing and quoting, it could transform how we operate. Government should support this with subsidies.
While the benefits are clear, there's a worry about job losses for traditional pricing analysts and brokers. AI should augment human decision-making, not replace it entirely. A balanced approach would serve the Indian logistics workforce better in the long run.
S We welcome thoughtful discussions from our readers. Please keep comments respectful and on-topic.