FEATURE : DATA ANALYTICS
AI and analytics boosting use cases
Using intelligent and no-code SaaS management platforms , businesses can plug and play AI-powered business intelligence and analytics tools . Executives from Shipsy and AspenTech provide insights .
Research by Gartner reveals that the global supply chain sector will experience the most significant influence from artificial intelligence , technology , and data analytics by 2025 . Research shows that 16 % of leaders in supply chain management are applying automation to improve their decision-making processes , while 21 % are utilising automated tools to enhance transportation methods .
“ Businesses leverage real-time data integration , AIdriven anomaly detection , and automated decisionmaking to improve supply chain efficiency . Advanced AI-driven algorithms analyse historical and real-time data to predict failures even before they occur and mitigate risks ,” says Soham Chokshi , CEO and Co- Founder , Shipsy .
It helps improve route and territory planning , boost workforce utilisation , accurately forecast demand and flag cost deviations while executing logistics operations using hired resources .
It delivers fantastic new levels of efficiencies when it comes to selecting logistics partners across land and ocean and even while negotiating freight rates .
These innovations enhance operational efficiency by reducing transportation costs , minimising stockouts , and enhancing resource allocation precision . Realtime insights empower informed decision-making , enabling businesses to proactively adapt to market fluctuations . Customer satisfaction improves due to accurate delivery estimations and enhanced supply chain transparency , elevating brand reputation .
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