집
사례 연구

사례 연구

ADA helped leading ecommerce brand enhance profitability and cashflow through improved inventory liquidation process​

Data & AI
Data Analytics
India
Retail

Improve profitability and cashflow with discounting strategies. Clear excess inventory while keeping the contribution margin via optimized liquidation process​

The Results

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The Execution

One of the leaders in the kidswear ecommerce sector innovated its inventory liquidation strategy to improve cash flow and maintain margins.​

The client faced significant challenges with their monthly reporting due to time-consuming manual data verification in Microsoft D365 and the absence of a unified financial data source. This not only demanded 40+ hours monthly but also caused regulatory report delays and fines.​

ADA helped to develop a liquidation system that utilized price elasticity modeling, incorporating factor mapping, data extraction, and hypothesis testing to inform discounting strategies.​

This new strategy led to significant achievements, including the clearance of excess inventory worth 15 crores in two months while keeping the contribution margin at 10% for liquidated products.​

15 crores​

Clearance of excess inventory in 2 months​

10%

Maintain Contribution Margin​

~200 increase
Increase in Revenues

내용물

Case Studies

ADA helped leading ecommerce brand enhance profitability and cashflow through improved inventory liquidation process​

Data & AI
Data Analytics
India
Retail

The Challenge

M1 needed to rethink how customers pre-ordered the Samsung Galaxy S25. The traditional experience of long queues, complex forms, and multiple customer service calls wasn't delivering the seamless journey their customers expected from a leading Singapore telco.

What we have achieved

~200 increase
Increase in Revenues

The Results

{{stats-component}}

‍

The Execution

One of the leaders in the kidswear ecommerce sector innovated its inventory liquidation strategy to improve cash flow and maintain margins.​

The client faced significant challenges with their monthly reporting due to time-consuming manual data verification in Microsoft D365 and the absence of a unified financial data source. This not only demanded 40+ hours monthly but also caused regulatory report delays and fines.​

ADA helped to develop a liquidation system that utilized price elasticity modeling, incorporating factor mapping, data extraction, and hypothesis testing to inform discounting strategies.​

This new strategy led to significant achievements, including the clearance of excess inventory worth 15 crores in two months while keeping the contribution margin at 10% for liquidated products.​

15 crores​

Clearance of excess inventory in 2 months​

10%

Maintain Contribution Margin​

Contents

관련 사례 연구

우리 작품 찾아보기
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13% GMV Growth & 20 Man-Hours Saved: A Data Transformation Case Study

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We achieved victory with an outcome-based model for TMRW by UOB's through 35% weekly surge in new user acquisition

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We helped a leading Food Delivery and Q-Commerce brand monetize brand insights​

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We helped a leading Food Delivery and Quick Commerce brand revise their Standard Operating Procedures (SOP) to improve their NPS and reduce partner attrition rate

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We helped a leading Food Delivery and Quick Commerce brand expand business and increase orders

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We helped leading Food Delivery and Quick Commerce brand improve the delivery executive’s retention

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Award-winning

13% GMV Growth & 20 Man-Hours Saved: A Data Transformation Case Study

Award-winning

We achieved victory with an outcome-based model for TMRW by UOB's through 35% weekly surge in new user acquisition

Award-winning

We helped a leading Food Delivery and Q-Commerce brand monetize brand insights​

Award-winning

We helped a leading Food Delivery and Quick Commerce brand revise their Standard Operating Procedures (SOP) to improve their NPS and reduce partner attrition rate

Award-winning

We helped a leading Food Delivery and Quick Commerce brand expand business and increase orders

Award-winning

We helped leading Food Delivery and Quick Commerce brand improve the delivery executive’s retention

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