Daily Food Delivery Orders and Delivery Time

By shrijeetverma13 · February 14, 2026

Data source:

Yes, there are clear seasonal patterns in order volumes throughout the year. The analysis reveals distinct differences between quarters, with certain periods showing notably higher order activity than others.

The analysis reveals distinct patterns in order activity throughout the week. Thursday stands out with the highest order volume at 390 orders, while Monday generates the highest total order value at $260,724.24. This suggests that while Thursday sees more transactions, Monday's orders tend to be larger in value.

I've created a comprehensive analysis comparing restaurant types by their average order values and order volumes. The visualization shows a dual-axis chart where you can see both metrics side by side for each restaurant type - blue bars represent the average order value in dollars, while the coral line tracks the total number of orders.

The analysis reveals that customers aged 56-65 are the biggest spenders, contributing $368,017.92 in total spending across 538 orders. However, the 46-55 age group orders most frequently with 549 orders totaling $360,587.52. The visualization shows side-by-side comparisons of total spending and order frequency across all age groups.

Throughout 2024, your business processed an average of 216 orders per month with an average monthly value of $145,230. The analysis reveals two interesting patterns: order volume peaked in October with 250 orders, while the highest revenue month was actually August at $163,371.

The analysis reveals that delivery distance has virtually no impact on either delivery time or partner ratings. The correlation between distance and delivery time is -0.031, and between distance and partner ratings is -0.028, both indicating essentially no relationship.

I've analyzed the payment methods in your dataset and created visualizations showing both their popularity and how they relate to order values. The first chart displays the number of orders for each payment method, while the second chart shows the distribution of order values across different payment methods using box plots.

Delivery time has virtually no direct impact on delivery partner ratings. The analysis shows an extremely weak correlation of 0.001 between delivery time and ratings, meaning faster or slower deliveries don't significantly affect how customers rate their delivery partners. Interestingly, the longest deliveries (76+ minutes) actually received the highest average rating of 3.78, while mid-range deliveries (46-60 minutes) had the lowest at 3.71. The overall order completion rate across all time ranges is 34.4%.

Orders above the 75th percentile (valued at $927.48 or more) represent the top 25% of all orders, totaling 650 orders. These high-value orders average $1,063.35, which is 59% higher than the overall average of $670.29. The analysis reveals two visualizations showing the distribution of restaurant types and payment methods for these premium orders.

The analysis reveals significant variation in order completion rates across restaurant types, with an overall average of 34.4%. Indian restaurants perform best with a 38.5% completion rate, while Italian restaurants have the lowest at 30.9%. Cancellations have a substantial financial impact, resulting in 873 cancelled orders and $581,736.97 in lost revenue across all restaurant types.

Yes, the analysis reveals restaurant preferences across different age groups. A grouped bar chart was created showing the percentage distribution of restaurant types for each age group (18-25, 26-35, 36-45, 46-55, and 56-65).

Chinese restaurants generate the highest revenue per delivery kilometer at ₹164.26 per km, significantly outperforming other restaurant types in revenue efficiency.

I've analyzed delivery performance across different restaurant types to see what percentage of deliveries meet the 30-minute benchmark. The analysis includes a visualization showing the performance of each restaurant type.

Yes, younger customers do show different payment preferences compared to older customers, though the differences are relatively modest. Young customers (18-30) favor UPI at 26.5%, middle-aged customers (31-45) prefer Wallets at 25.9%, and older customers (46-65) lean toward Cards at 25.6%.