Case Study: a large American retailer achieves proactive SLA breach prevention with Digitate ignio AI.Workload Management

Optimizing retail operations with predictive intelligence to simplify workload management

A large American retailer faced significant challenges managing over 20,000 batch jobs critical to its daily operations, including stock replenishment and sales reporting. Their reactive model led to frequent SLA breaches, causing business losses from delayed promotions and spoiled perishable goods. To address this, they partnered with Digitate and implemented its ignio AI.Workload Management solution to gain predictive intelligence.

Digitate's solution provided a single pane of glass for monitoring and used machine learning to predict SLA violations with 90% accuracy. This provided support teams with 2-3 hours of early warning, allowing them to prevent 37 potential SLA breaches within two months. The outcome was assured on-time generation of all key business deliverables, optimizing warehouse management and ensuring smooth store operations.