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Our Cases

Financial Services

Demand as transportation services as commerce

For one leading pharmaceutical laboratory, success and double-digit sales growth came with a cost: an overburdened supply chain that threatened to reduce market share.

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The biggest challenge was that Arguzo was not utilizing technology properly. Too much of the work was still being recorded manually, which meant that the numbers took a long time to note down and then to be analyzed. Live data was also not available and decisions can only be made after all the required data and been received. This was holding Arguzo back; they knew they could corner more of the market if they had the ability to be more mobile. The work addressed three critical issues for Pharm Ltd.:

  • Improve sales and operations and production planning: The teams focused their efforts on a few of the highest-value S&OP levers in order to review the current planning process, identify gaps in the planning infrastructure and analytically understand demand and supply variability.
  • Determine the right inventory level: With hundreds of medications in the market, Pharm Ltd. needed a proper method to predict and manage their inventory. Using a mean absolute percentage analysis (MAPE), the teams defined appropriate levels for raw materials and finished products by mapping actual versus forecasted sales on the most important SKUs.


The solution WP consulting came up with combined cutting edge technology with real world practicality. Everyone knew that the systems had to be updated, the real challenge was updating them without disrupting the whole organization in a negative way. The solution was to introduce proper workload management done through computers, while providing mobile platforms to the stakeholders.

This allowed the workers to be involved in the job instead of feeling like they had been made redundant by technology.


Arguzo employees are now more empowered; Arguzo also has the benefit of generating reports instantaneously whenever needed. They can now make decisions on the fly based on the latest real time data.

The effort vastly improved the company’s planning and execution functions, created and implemented a new stock policy that accounted for specific SKUs and key variables, streamlined the order preparation process and reduced distribution transport times.

By the numbers, the effort:

  • Reduced lead time by 43%
  • Decreased variability by 50%
  • Lowered the risk of back-order by 95%
  • Increased stock for finished goods by 10%