Category: Analytics

Organizations face a complex challenge in maintaining sustainability compliance across their vast, global supply chains. Managing complex regulatory requirements, collecting data from suppliers worldwide, and auditing that data for accuracy using traditional email and fragmented messaging tools proves inefficient and error-prone. As organizations navigate the modern supply chain landscape, embracing digital and physical transformations will […]

Last month I shared my key predictions for 2024. This blog expands on the necessity of gathering scattered data across multiple systems into a unified data model. Supply chain leaders face increasing complexity from sprawling global networks and rising customer expectations. As a result, supply chain management has transformed into a strategic differentiator as customers […]

Customers across all industries continue to leverage autonomous and disparate systems such as enterprise resource planning (ERP), order management systems (OMS), and enterprise data warehouse (EDW) to store supply chain and operational data. While these systems perform their basic function well, supply chain data remains locked in these disparate data source systems. The underlying data […]

Inventory management for perishable products is a challenge for many industries, such as food manufacturing, grocery wholesale and retail, and pharmaceuticals. For example, excess stock levels of dairy products, meats, fruits, vegetables, medicines, and even beer, to name a few, are all subject to expiration, “best before” dates, or important milestones in product lifecycle (e.g., […]

We observe that executives trying to obtain an end-to-end view of their company’s supply chain are often faced with a landscape mostly covered in fog – an incomplete, fragmented, and sometimes incongruent picture of what is occurring. Data may reside in disconnected, siloed systems, and many processes, such as external logistics or the current state […]