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Predictive modelling and Data-Driven Demand Planning systems are essential for ‘Empty Container Management’. Global Repositioning Teams use them to reduce logistics costs associated with empty container handling and relocation. However, the ability to predict demand and reposition depends on accuracy and speed of data capture.
What 3PL business therefore need is a solution that can overcome challenges of manual extraction of data from emails, attachments, invoices, shipping labels, delivery notes, CMR Consignment Notes, etc. And while the ever dependable excel spreadsheet is not going anywhere, we can optimize workflows around it.
However, it is largely dependent on the availability of real-time cargo tracking data and how it is used to give the complete picture –
How shipping container dimensions’ data is input into the system
How data is standardized when collaborating with external shipping lines
How data is used to arrive at Projected vs Accrued container storage cost
How data being used to generate a plan for empty load and discharge
What process is followed to create a summary of cargo to be discharged at each port
What process is followed to capture Information location, capacity, and heavy lifts
What type of format you follow for storing data about arrival timestamps
What process is followed to calculate optimal storage figures, and peak periods
Completely manual processes of data extraction, data inputs and maintaining excel-based records pose a big challenge for prediction and visibility. Hence you need system integration that can continuously share the latest data to provide consistency across departments and global divisions.
Sun Technologies is a top-tier implementation partner for some the world’s leading No-Code, Low-Code platforms for Automation. Our experts can implement end-to-end automation of your mailbox operations using OCR (Optical Character Recognition) to streamline processes and improve efficiencies.
What 3PL Leaders Aspire to Achieve:
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