Case Study
top-img

Top 5 brand in Household Supplies category has seen profits increased by 36%

Profit increase by $130,540 within 5 months

avatar
Karim Saydashev
Oct 17, 2023

Our client was able to achieve these results using Nyle:

Save over 20 percent annually on the shipping costs for containers and trucks

49%

team productivity increase

42%

Storage cost reduction

24%

Shipping cost reduction

The Challenge

In 2022 our client was facing some serious issues with inefficient supply chain operations and lack of planning activities to avoid recurring Out of Stock problems.

Our client could not correctly estimate the future demand for most of the products and overestimated the and overestimated the amount of products to store at the 3PL Warehouse. At the same time, the inventory planning for the remaining products was underestimated, which was that led to leading to serious Out of Stock problems in the during the busiest months of November and December, as there were no products available on 3PL, and they could not be delivered to Amazon on time.

case-img
eliminated
$135,000

damage from lost sales

Two popular SKUs experienced “Out of Stock” events in the last 2 months of 2022, which that led to $135k in lost sales, additional air shipment and marketing costs. To bring back their initial ranking spot the client had to launch an additional marketing campaign (about $9k in additional costs).

In 2022 our client had relatively high shipping costs for domestic and overseas shipments (4.48% of total revenue), need to rewrite to "the storage costs for both Amazon FC and 3PL were much higher (1.89% of total revenue) compared to our benchmark of 0.9%.

Additional expenses occurred due to incorrect demand estimations. As a result, the company had to arrange frequent shipments to Amazon in an effort to keep its warehouse stocked, and ship via by LTL and SPD instead of FTL.
line-arrowline-arrow

The Solution

Our client used Nyle Supply Chain visibility solution to find the best way to make shipments more cost-effective, and improve their Amazon Inventory Performance by 30%+.

increased the pallet utilization by

21%

Decreased LTL cost to

$0.05  per lb

Decreased SPD cost to

$0.26  per lb

Using the Advanced AI Demand Forecasting, Nyle has been able to combine the shipments to achieve maximum savings in transportation and storage costs, increase average pallet utilization by 21%, and lower the LTL costs by half (to $0.05 per lb) as well as SPD costs by 28% (to $0.26 per lb) using the access to privilege shipping options.

87%

reduction of SPD shipments

The amount of SPD shipments was reduced from 41.1% in 2021 to 5% in 2022. It allowed shipping with FTL or LTL methods as well as made the shipping process more cost-effective.

case-img

Our predictive modeling system took into consideration seasonal trends and the individual
trends of each product.

By doing so, we decreased the inventory levels in the 3PL and amazon warehouses with low sales velocity. However, the popular products were still purchased in large quantities from the suppliers and they were always delivered when needed including the peak season.

This allowed us to decrease
the warehouse storage costs by 42%
+36%

Profits

Our client was able to avoid the lost in sales caused by the ranking loss and lowered the shipping costs by 24% which resulted in an increase of net margin by 4% and profitability by 36%.

Direct shipments from the suppliers to Amazon by sea was also an important part of the success, as well as introducing a well planned structure of the shipment schedules that helped get rid of more expensive airplane shipping.

case-img

​​With the help of our quantitative and qualitative forecasting models, we were able to predict what items are most likely to sell out quickly. We then shipped these items directly to Amazon warehouses to minimize shipping expenses.

We were able to help the client find a faster and more effective way of shipping goods by sea from Turkey, with lead time reduced from 70 to 45 days.