Scopt Analytics Support

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Warehouse Efficiency Improvement

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Data Engineering

Client

$14.6B Global Telecom Services Company

Project

Study Warehouse Operations & identify potential opportunities to increase efficiency and reduce cost

Challenge

  • Customer was experiencing challenges in managing its warehouse operations efficiently for its 2nd largest business region.

  • SCOPT Analytics was asked to study warehouse operations to identify

    • Opportunity areas for efficiency improvements and cost reduction
    • Opportunities for establishing sustainable and process driven warehouse operations
    • Projects that can deliver significant business value in the short term

Our Solution

‘AS IS’ Study (2 Weeks)

Detailed study of Warehouse operations on various aspects (Design, Business processes, People, Equipment, Systems, Transportation) Detailed analysis of operations data, metrics and KPIs Documented and validated understanding with stakeholders

Maturity Assessment (2.5 Weeks)

Assessed maturity of WH’s critical success factors (CSFs) on various dimensions (Design, Resources, Operations & Management) Identified gaps & shortlisted opportunity areas

Recommendations (2.5 Weeks)

Brainstormed and prioritized major cost improvement levers in each opportunity area. Quantified potential savings. Identified & prioritized projects to implement recommendations and realize savings.

Value Delivered

  • Business Process Improvements

    • Defined operational metrics & KPIs to measure & monitor process efficiencies

    • Recommended cycle count process to eliminate dependency of monthly physical inventory audit

    • Recommended WMS for better management & stock accuracies

  • Manpower Optimization

    • 27% savings opportunity on manpower spend is identified and validated by streamlining operations

  • Space Optimization

    • 8% savings opportunity on real estate spend thru timely assessment and disposal of non-usable material

    • 8.5% savings opportunity on real estate spend was identified and validated thru optimal racking & space utilization

  • Returns Optimization

    • 8% savings opportunity on transportation spend was identified and validated by minimizing redundant backhaul