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.

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.

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

Increase Demand Forecast Accuracy

The current Demand Forecast Accuracy averages 70%, with fluctuations between 66% and
82%, resulting in frequent inventory imbalances, stockouts, and disruptions in production and
logistics planning. These inaccuracies are causing the organization to incur nearly ₹12 million
per quarter in excess inventory and lost sales. The variability in forecasting reduces customer
service levels, drives up carrying costs, and forces operations to rely on reactive planning
rather than a stable, data-driven approach. Improving forecast accuracy to at least 90% will
significantly reduce inventory costs by 15–20%, enhance product availability, and strengthen
coordination between Sales, Operations, and Supply Chain. Overall, the project is expected
to deliver annual savings of ₹30–40 million through improved efficiency and reduced
operational waste.

Reduction of DECO Spoilage % in Aluminum Beverage Can Printing