Jeremy Hardy, Managing Director
Jeremy has over 10 years of experience partnering with clients on corporate strategy, commercial excellence, and transformational change. He brings deep expertise on commercial topics such as growth, pricing, go-to-market, sales & distribution and customer personalization across consumer, travel & leisure and transportation & logistics sectors.
Select Representative Experience
Diligenced the proposed merger of two manufacturers and distributors of filled bedding products, identifying $24M+ in synergy value, representing a ~50% increase relative to baseline. Conducted capacity analysis; articulated operational synergies from consolidating manufacturing and warehousing, renegotiating raw materials spend, and outsourcing some made product; and performed complementary analyses to assess make-vs-buy decisions for a new product line, one-time integration costs, and TSA and integration planning considerations.
Assessed distribution strategy for both short-term and long-term scenarios that included distribution cost model impacts, inventory categorization, and one-time transfer estimates, which resulted in recommended scenario selected by executive leadership.
Created commercial initiatives and execution roadmap for a hotel group with a focus on geographic expansion, brand consolidation, and customer experience enhancements to drive a 2.5x EBITDA growth over five years. Key deliverables included a detailed financial impact of growth scenarios, survey driven customer insights and segmentation, and a detailed, action-oriented go-to-market growth plan.
Led development of transformation roadmap for a major bus operator, with in-depth assessment of business model enhancements and network dynamics, targeting 50-100% profitability gains over two years. Work was packaged into a detailed sell-side diligence document in preparation for a potential sale of the company.
Co-led creation of a machine-learning algorithm to improve short and mid-term demand forecasting errors by 15-30%, combined with pricing initiatives to drive 3-4% increase in unit revenues. Initiatives were A|B tested and improved upon before launching across the company’s markets. Engagement was conducted in close collaboration with client teams to ensure enablement of key skills required to operate future changes.
Led development of a machine learning approach to assess risk attributes of truck drivers to unlock ~$1B by optimizing the company’s existing self-insured model through an improved safety incentives program. The analysis incorporated tactical recommendations, including ‘quick-wins’, for the company to implement in order to promptly start delivering on the identified value.