Ducker Carlisle, a global market research, strategy consulting andM&A advisory firm, today announced new SparkWise Data and AI service that combines the firm’s 30+ years of industry-specific consulting experience with leading-edge data management and AI knowhow to drive new cost and operational efficiencies for corporate clients and OEM aftersales departments. The team is based in anew Lisbon office to take advantage of the area’s rich talent pool, withadditional staff in the firm’s established Boston, Detroit and Bangalorelocations.
Senior team members include Fabien Cros, Chief Data and AI Officer, who most recently served as Data & AI Country Lead for Manufacturing at Google; Guillaume Denis, Generative AI Director, who was formerly Google’s Data, AI& Measurement Lead for Automotive, Luxury and Travel; and Arthur Derennes, Data Engineering Director, whose prior role as VP Engineering at global data and AI consultancy Artefact spanned multiple industries.
“Successful AI implementation requires more than technology expertise.It’s a strategic effort that optimizes results only if it’s built on a deep understanding and alignment with the client’s particular business needs,objectives, operations and challenges,” said Paul Gurizzian, Ducker CarlisleCEO. “Pairing our decades of consulting work in specific industry sectors with the skills of AI experts who have experience in those same sectors enables us to deliver what we call ‘True Impact AI’ that drives meaningful benefits to the bottom line.”
Focusing on both strategy and solutions, the new SparkWise Data & AI service leverages Ducker Carlisle’s extensive knowledge of the automotive, heavy equipment, building and construction, industrial and materials industries; aftersales teams in those industries; and private equity firms’ portfolio clients in the same business sectors. Services include:
This suite of data and AI services helps clients automate manual tasks, reduce costs, accelerate sales growth, enhance productivity, and drive other business improvements.
Sample applications include streamlining RFP preparation, establishingAI-powered multi-channel booking agents, deploying an intelligent spare parts recommendation agent, implementing demand forecasting, introducing AI-driven pricing and much more - all advancing clients’ ability to optimize costs and gain competitive advantage.