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LSS Green Belt

Category: Case Study

iceqbs user comments (0) August 4, 2026

Reduction of Poor Food Quality (Taste/Texture) Defects

The % of orders returned due to poor food quality (taste/texture) is 4.74% (average) over the last 9 months.
Reduce the % of orders returned due to poor food quality (taste/texture) from 4.74% to 3.00% by September 2026.
At 10,000 orders/month, the current 4.74% defect rate means 474 defective orders/month; the 3.00% target cuts this to 300 — a reduction of 174 orders/month. At SAR 37 per defective order, this saves SAR 6,438/month, or SAR 77,256 annually.

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iceqbs user comments (0) August 4, 2026

Reduction of Foreign Body Food Safety Complaints

The Food Safety Complaint Rate (foreign body complaints per 10,000 meals) is currently at an average of 0.92 over the last 9 months, indicating persistent process variation and quality concerns.
Reduce the Food Safety Complaint Rate from 0.92 to ≤0.40 complaints per 10,000 meals within 4 months.
The current complaint level results in ~80 complaints over 9 months, at an estimated SAR 300 per complaint (wastage, investigation, client handling, rework) —a total cost of approximately SAR 24,000.

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iceqbs user comments (0) August 4, 2026

OTD Improvement in Last-Mile Grocery Deliveries

Over the past several weeks, the last-mile delivery network
began showing a series of inconsistencies that signaled a
growing operational concern for the company and a
noticeable experience gap for customers. Clusters started
reporting delays in closing delivery batches, wider variation in
route completion times, and an increasing number of orders
spilling over into the next cycle. These irregularities disrupted
daily planning, made resource allocation harder, and created
uncertainty for on-ground teams who struggled to predict
how long delivery runs would actually take

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iceqbs user comments (0) August 4, 2026

Reduce Late Deliveries by Improving (OTD%) in FMCG Supply Chain Operations

On-Time Delivery (OTD%) is currently performing at 78%, which is below customer expectations.
Late deliveries have been consistently observed over the last 9 months.
Delivery delays are affecting customer satisfaction and service level compliance.
The major contributors include dispatch delays, waiting time, and vehicle availability issues.
The current process shows high variation and inconsistent delivery performance.
Improving OTD% is critical to enhance operational efficiency and customer experience.

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iceqbs user comments (0) August 4, 2026

Improving Warehouse Space Utilization

Space Utilization Percentage in the warehouse is currently at 71% (average over the last 9 months) with high variability, and this condition has persisted for 9 months.
Improve Space Utilization Percentage from 71% to 85% by 31 December 2026.
Reaching 85% utilization is expected to increase storage capacity by ~20% without warehouse expansion, cut external storage/rental cost by ₹10–15 lakhs annually, and reduce handling cost by ~10% through improved operational efficiency.

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iceqbs user comments (0) August 4, 2026

Reduction of Inventory Discrepancy Rate in warehouse operations

The current inventory discrepancy rate of 10.6% over the past 9 months is impacting stock
accuracy, operational efficiency, and customer satisfaction. Reducing this discrepancy to 7%
within 6 months will significantly improve order fulfillment accuracy, minimize stockouts and
returns, and enhance overall warehouse productivity. This improvement is expected to deliver
key business benefits, including a 20% reduction in order fulfillment errors, improved customer
experience, and lower inventory carrying costs. Ultimately, the project supports the
organization’s strategic objective of achieving operational excellence and effective cost control
through data-driven process improvements.

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iceqbs user comments (0) July 31, 2026

Reduction of CAPA Closure Delays in the Quality Management System

The CAPA Findings Closure Rate has remained at 68% over the past 9 months, resulting in
delayed closure of corrective and preventive actions, increased compliance risks, and audit
observations. This project aims to improve the CAPA Findings Closure Rate from 68% to 95% by
31 December 2026 through standardized processes, timely action implementation, and effective
monitoring while maintaining closure quality. Achieving this goal will enhance regulatory
compliance, reduce overdue CAPA findings and rework, improve audit readiness, optimize
resource utilization, and strengthen the overall effectiveness of the Quality Management System,
delivering measurable operational and business benefits.

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iceqbs user comments (0) July 31, 2026

Improvement of Retail Fuel Dispensing Accuracy

This project focuses on improving the accuracy and consistency of fuel dispensing across retail fuel stations. Over the past nine months, fuel dispensing accuracy has averaged 98.5%, with significant variability that prevents consistent achievement of the desired performance standard. This inconsistency increases the risk of customer dissatisfaction, compliance issues, and financial losses.

The objective is to improve fuel dispensing accuracy from 98.5% to at least 99.8% by 30 June 2026 through calibration improvements, preventive maintenance, process standardization, equipment monitoring, and enhanced operational controls.

Successfully achieving the target will reduce customer complaints and fuel dispensing disputes, ensure compliance with Legal Metrology regulations, minimize revenue leakage caused by inaccurate dispensing, refunds, and rework, and strengthen customer trust while improving overall operational reliability.

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iceqbs user comments (0) July 31, 2026

Reduction of Peak-Hour CPU Utilization in Data Center Operations

This project aims to optimize data center server performance by reducing excessive CPU utilization during peak business hours (9:00 AM–9:00 PM). Over the last six months, average CPU usage has remained at 75%, leading to application slowdowns, request timeouts, and an increase in IT incidents that negatively impact business operations and customer satisfaction.

The objective is to reduce average peak-hour CPU utilization to 65% or lower within four months by identifying performance bottlenecks, optimizing workloads, improving resource allocation, and implementing infrastructure and application performance improvements.

Achieving this target will enhance system responsiveness, improve application availability, reduce incident management efforts, and help the organization avoid approximately ₹30 lakhs per year in SLA penalties and productivity losses, while providing a more reliable experience for end users.

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iceqbs user comments (0) July 29, 2026

Optimization of Document Compilation and Internal Review Process to Improve FTAR

The current First
Time Approval Rate (FTAR) for survey and design submission packages averages
96.02%, with repeated rework caused by missing documents, drawing inconsistencies,
incomplete attachments, and weak internal review processes, resulting in project delays and
increased operational effort. This project aims to increase the FTAR from 96.02% to at least
99.5% by December 2026 by standardizing documentation, strengthening the review process,
and eliminating submission errors. Achieving this goal will reduce rework and review cycle time,
improve productivity and customer satisfaction, ensure compliance with client and regulatory
requirements, and enhance the overall quality and efficiency of project delivery.

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