A leading U.S.-based logistics and distribution firm was burdened by fragmented reporting systems and inaccurate forecasts, resulting in lost efficiency and higher delivery costs. TechWish implemented a centralized analytics and forecasting platform to unify data, automate reporting, and improve cross-functional alignment. The solution delivered $1.6M in annual operational savings, cut reporting time by 65%, and enhanced forecasting accuracy by over 40%, helping the business adapt quickly to seasonal demands.
Snapshot:
- Consolidated 14 systems into a unified analytics engine
- Reduced reporting cycle from 3.8 days to under 1.4 days
- Improved forecasting accuracy by 40.3%
- Introduced real-time dashboards with department-specific KPIs
- Achieved >99.9% uptime during peak operational cycles