To support the client’s two core verticals—food delivery and ride-hailing—we developed a blended, cross-functional support model designed for real-time adaptability.
Each vertical has its own rhythm: food delivery sees peak volumes during lunch and dinner hours, while ride-hailing traffic surges in the mornings, evenings, and on weekends. With this in mind, we trained agents to work across both verticals and channels (chat and email), allowing seamless transitions based on real-time demand.
This setup enables agents to switch between verticals and communication channels throughout the day, handling food delivery chats during meal rushes, then pivoting to ride-hailing emails or chats during commuting hours.
By actively balancing workload and reallocating resources as needed, we’ve significantly increased operational efficiency, reduced idle time, and improved response times during high-traffic periods.