A global automotive component supplier struggled with escalating unscheduled downtime and inefficient, reactive maintenance stemming from outdated time-based schedules across a mix of legacy and modern equipment
A leading healthcare provider faced significant challenges, operating with a cumbersome, manual contract management process, they aim to fully automate and synchronize data and various process and gain full visibility.
Client needed a unified and scalable solution capable of providing end-to-end visibility and seamless data integration to optimize its operations and ensure product quality.
The company was manually managing their load-building processes using pen and paper, which created a rigid and inflexible system that couldn’t support dynamic planning.
A Manufacturing company needed a solution to bring operational visibility and seamless execution of plans across multiple areas.
In today’s competitive retail market, companies face challenges with unpredictable customer behavior. Some customers only shop during sales, others respond to coupons, and many stop buying over time.
A food delivery company that operates across multiple cities faces challenges in managing stock across its fulfillment centers. With a growing customer base, accurately forecasting demand for upcoming weeks and months is crucial to optimizing raw material procurement, avoiding shortages, and minimizing wastage.
Streamline and accelerate data migrations from legacy systems to modern cloud-based systems with minimized downtime to ensure accuracy, interoperability with business validations and data enrichment throughout the data transition process.
Client needed to solve their yard and dock capacity challenge through an automated appointment creation, and automated driver, trailer check-in and check-out process.
Customer required a system capable of accurately predicting Manufacturing Lead Time for the entire Finished Goods list manufactured across all factories, considering new manufacturing demand as well as forecasted demand and accounting for all causal factors.
