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AI Solutions and Digital Supply Chains

Supply Chain Management and Analytics

mismatched and missing data between different sources. Early exception detection and predictive alerts can be provided using always-fresh data received via automated data integration from both enterprise and external sources. With the aid of connected data sources, profitability impact can also be reported.

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It is about time that we leveraged supply chain analytics

Supply Chain Management and Analytics

It turns out “insiders joke about billion-dollar procurement-management-disposition cycles that are managed in spreadsheets” according to Requis. Ability to do root-cause analysis is limited and decision-making requires coordination across multiple functions and data-sources. 3) Lack of automated diagnostics and prescriptive actions.

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Saving Supply Chain Planners from Chaotic Spreadsheets

Supply Chain Management and Analytics

It turns out “insiders joke about billion-dollar procurement-management-disposition cycles that are managed in spreadsheets” according to Requis. . Ability to do root-cause analysis is limited and decision-making requires coordination across multiple functions and data-sources.