Bilal.com.pk · Professional Knowledge Hub

Supply Chain, Logistics, Warehousing & Transportation

From warehouse-floor execution to centralized Control Tower leadership, Bilal Akram works across the operational chain: warehousing, transportation, systems, customer service, billing, capacity, planning, exceptions and performance visibility.

16+
Years in supply chain & logistics

Ground-to-management experience across warehouse and transport operations.

50+
Account exposure

Multi-client 3PL visibility across FMCG, consumer, healthcare and pharma sectors.

360°
Operations + systems + commercial

Connecting execution, data, customer requirements and financial impact.

Warehousing and operational planning

Warehouse planning

Interactive planning for storage capacity, utilization, account movement scenarios, receiving-warehouse impact, implementation sequencing and cost planning.

Inventory & FEFO analysis

Root-cause analysis around expiry handling, picking flows, stock movements, partial areas, process timing and system execution.

Master data & realtime reporting

Maintaining and cleaning operational master data, building realtime reports and dashboards, and improving visibility for daily decisions.

Billing, audit & validation

Auditing and validating operational, transport and finance-related data; automating reconciliations, billing checks and exception reviews.

Transportation tools built around KSA operations

Route Planner & Route Optimization Planner

Tools for comparing route options, planning movement paths and supporting transport decisions.

KSA Zone Creation Tool & Cities Distance Meter

Saudi city/zone structure and distance-based planning support for transportation analysis.

Route Comparison Tool

Structured comparison of route alternatives and operational consequences.

Fuel Adjustment Tool

Commercial support for transport costing and fuel-related adjustments.

Control Tower leadership

Beyond reporting, the Control Tower approach focuses on exception visibility, action ownership, KPI/SLA performance, transport follow-up, systems integration and a sustainable team learning model. Team members were trained to identify their own time-utilization opportunities and build in-house automation projects—from small improvements to larger AI-assisted workflows.