According to McKinsey and Company, AI has the potential to add $13 trillion to the global economy, but is your organization equipped to capture that value? This blog post breaks down the challenges of adopting AI in large enterprises and offers actionable solutions.

According to Gartner, supply chain firms are expected to witness a two-fold increase in machine automation within the next five years. AI in logistics is therefore no longer just a luxury but a necessity for boosting management capabilities and streamlining operations in enterprises and startups alike. By integrating AI at different stages of logistics operations, companies can significantly lower costs while increasing productivity, minimizing human errors, and enhancing customer satisfaction.

Captur improves visibility between cities and micromobility operators by offering real-time feedback on parking compliance through AI-guided end-of-ride photo analysis, enhancing operator-city relations and promoting responsible parking behavior.