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Connect with us to discuss how we can assist you with using machine learning to improve scheduling and manage capacity.
Business Challenge
Customers experience long wait times
The challenge you face
- Scheduling of service delivery does not take into account historical service times.
- Customers have to wait for long periods before receiving service.
- Long wait times are frustrating customers, some of whom don’t return.
Implications of not addressing the challenge
- Existing customers churn.
- Negative customer ratings and reviews.
- Ratings have a negative impact on customer acquisition.
What does success look like
- Customer waiting times are reduced to a level acceptable by customers.
- In most instances customers do not wait for service.
- The business does not have to work overtime to meet demand.
- Spikes in demand are planned for in advance.
- Customers do not churn due to lack of timeous service.
- Customers provide good ratings and comments related to service experience.
Algonomix solution
- The solutions involves obtaining an indication of the required service at booking time.
- The service effort and time required is predicted using AI (machine learning) based on historical service durations and other relevant factors.
- Available capacity is set dynamically based on planned services and historical service durations.
- Service durations are constantly measured to update the prediction algorithm.