The project focuses on identifying critical inefficiencies in automotive product development and digital tool limitations for OEMs and tier 1 suppliers. It aims to develop compelling business cases that demonstrate how AI can effectively address these challenges, while also highlighting potential white spaces where these technologies can be applied to drive innovation and efficiency in the industry.

Articulate a global harvester strategy for Mahindra's farm equipment sector.

 

Initiate a feasibility Study for Shared-X and recommend a plan to vertically integrate its coffee business.

Evaluate how advancements in mobility will disrupt the future of food consumption and enable growth opportunities for Kellogg's.

Define a framework to measure and track overhead activities within Riot's Enterprise technology department so teams can focus on more value added activities.

Determine the value proposition and strategy to sell an agricultural chemical input that replaces fertilizer in the turfgrass market.

Conduct research and a detailed analysis of the top two categories within the B2B services sector and provide specific recommendations on how Amazon Business can succeed in these categories.

Create a portfolio optimization strategy for beer sales.

Analyze the market situation to understand the prevalence of digital systems and develop a marketing plan.

Assess and evaluate the strategic market entry plan for aftermarket export opportunities in African and South-East Asian markets