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We helped a leading ecommerce brand enhance efficiency and decision-making through data automation

Case Study

We helped a leading ecommerce brand enhance efficiency and decision-making through data automation

The Results
Reduction in analyst time consumption
Improve data accuracy, faster decision making
The Challenge

The client faced a challenge of synthesizing sales data from multiple channels without a centralized source, complicating real-time access to key performance indicators such as revenue, orders, and click data, and necessitating frequent manual calculations for reporting to management.

The client’s reporting ecosystem was hindered by a lack of data centralization, creating a significant lag between data generation and executive insight.

  • Data Silos: Sales, revenue, and engagement data (clicks/orders) were scattered across multiple unlinked channels.

  • Lack of Real-Time Visibility: High-level KPIs were inaccessible in real-time, preventing agile decision-making.

  • High Manual Overhead: Analysts were burdened with frequent manual calculations and spreadsheet consolidation to produce management reports, increasing the risk of human error.

The Strategy

ADA engineered a centralized, automated system to replace manual workflows with a robust data “single source of truth.”

  • Unified Pipeline: Developed a custom architecture to ingest disparate sales and customer interaction data into one streamlined flow.

  • Advanced Processing: Utilized Python for data preparation and refinement, transforming raw inputs into high-clarity, analysis-ready datasets.

  • Orchestrated Reporting: Implemented server-based scripts to schedule and push reports automatically, ensuring management received updates without manual intervention.

  • Quality Governance: Integrated real-time verification protocols to audit data accuracy and maintain reporting integrity.

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The Results
The Challenge
The Strategy
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We empowered a leading retail group to drive revenue growth with advanced data analytics dashboards

Case Study

We empowered a leading retail group to drive revenue growth with advanced data analytics dashboards

The Results
0 %
Revenue Increase at organizational level by enabling CXOs to access critical data
0 %
Reduction in Monthly Man Hour Investment by shifting from manual reporting to advanced dashboards
The Challenge

TMRW, a dynamic venture backed by the prestigious Aditya Birla Group, is poised to revolutionize India’s fashion and lifestyle landscape. With a visionary approach, TMRW is on a mission to construct the nation’s premier House of Brands, setting the stage for unparalleled growth in the direct-to-consumer (D2C) sector across India.

Our client’s leadership faced a pressing challenge: a lack of visibility into business performance and key metrics due to unorganized data. This deficiency not only inhibited their ability to measure profitability accurately, particularly CM2, but also undermined investor confidence, as CM2 tracking is a key investor initiative. Urgent action was needed to implement a solution that enabled real-time data tracking and informed decision-making to ensure profitability and investor satisfaction.

The Execution

By leveraging the capabilities of the BI tool Metabase, we have successfully developed a robust CXO Dashboard designed to provide comprehensive insights into key performance indicators (KPIs).

This dashboard meticulously covers essential metrics such as Gross Merchandise Value (GMV), Net Sales Value (NSV), Gross Margin, Seller Expenses, Contribution Margin 1 (CM1), Marketing Spends, and Contribution Margin 2 (CM2) at various levels including brand, platform, category, and style.

The implementation of this dashboard has proven instrumental in enabling users to monitor the impact of even minor experiments and adjustments in real-time, thereby enhancing the understanding of profitability dynamics for the brand.

By resolving this critical issue, stakeholders are now empowered to extract actionable insights and make informed decisions based on the wealth of data at their disposal. This sophisticated solution represents a significant advancement in client’s analytical capabilities, fostering a more agile and data-driven approach to decision-making within their organization.

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The Results
The Challenge
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ADA revolutionizes digital growth for a Philippines nutrition brand with integrated campaign

Case Study

ADA revolutionizes digital growth for a Philippines nutrition brand with integrated campaign

The Results
  • FB / CPAS ROAS outpaced competing eTailer platforms by 43%
  • Performance of Super Brand Day (SBD) excelled, delivering 10x growth with up to 45% contribution from new buyers
  • Drove Campaign-On-Campaign improvements by 161%
  • Achieved over 100% of growth for their key brands
  • Promil and Promama stores experienced 125% of growth YoY
  • Followers increased by 35%
  • New orders grew by 1.4x
0 %
growth for their key brands
0 %
contribution from new buyers
0 x
on Super Brand Day
The Strategy

In response to the profound shifts brought on by the pandemic, ADA partnered with a leading nutrition brand in the Philippines to navigate the challenges posed by retail closures and the subsequent surge in online shopping. The goal was to seamlessly transition offline customers to the brand’s digital platforms while ensuring an enhanced level of convenience and customer satisfaction.

The Approach

ADA’s approach involved in-depth market analysis, leveraging industry best practices to optimize the customer experience, and deploying sophisticated customer engagement tools to identify opportunities. This was complemented by strategic media efforts, always-on thematic campaigns, and innovative pilot initiatives on platforms like Shopee. Additionally, the brand’s integration into Shopee’s supermarket and synergies with the ParenTeam Rewards program further expanded its reach.

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The Results
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We enabled a leading global retailer to increase revenue through improved targeting and personalisation

We enabled a leading global retailer to increase revenue through improved targeting and personalisation

Results
0 %
Increase in Revenue
0 %
Campaign CTR Increase
Challenge

The client faced a challenge with outdated predictive models for customer spending, leading to suboptimal conversion rates and missed revenue opportunities. Additionally, inefficient customer segmentation hindered targeted marketing efforts.

The Solution

ADA helped to enhance its marketing strategies by integrating a sophisticated Purchase Propensity Classification Model, employing Naive Bayes algorithms for predictive analytics, with Salesforce, to streamline and personalize its marketing efforts, significantly sharpening customer targeting and campaign efficacy.

The new strategic adoption of advanced machine learning techniques and CRM integration proved essential in capturing market share and driving growth through improved customer insights and targeted communication.

The implementation of a predictive analytics model and CRM system integration resulted in a substantial increase in marketing efficiency, highlighted by a 50% rise in click-through rates and a 0.8% increase in revenue.

The Results
The Challenge
The Solution
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We helped a leading retail brand bolster revenue with advanced predictive analytics and CRM integration

We helped a leading retail brand bolster revenue with advanced predictive analytics and CRM integration

Results0.
0 %
Increase in Revenue
0 %
Increase in Click through rates (CTR)
Challenge

The client faced a challenge with outdated predictive models for customer spending, leading to suboptimal conversion rates and missed revenue opportunities. Additionally, inefficient customer segmentation hindered targeted marketing efforts.

The Solution

ADA helped to enhance its marketing strategies by integrating a sophisticated Purchase Propensity Classification Model, employing Naive Bayes algorithms for predictive analytics, with Salesforce, to streamline and personalize its marketing efforts, significantly sharpening customer targeting and campaign efficacy.

The new strategic adoption of advanced machine learning techniques and CRM integration proved essential in capturing market share and driving growth through improved customer insights and targeted communication.

The implementation of a predictive analytics model and CRM system integration resulted in a substantial increase in marketing efficiency, highlighted by a 50% rise in click-through rates and a 0.8% increase in revenue.

The Results
The Challenge
The Solution
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We helped a leading retail brand grow revenue and increase customer retention by implementing a ML-driven Customer Lifetime Value model

We helped a leading retail brand grow revenue and increase customer retention by implementing a ML-driven Customer Lifetime Value model

Results
0 %
Reduction in Churn Rate
0 %
Increase in Customer Retention
0 %
Growth in Revenue
Challenge

The client faced a challenge with the lack of predictive insights into customer spending, leading to uncertainties in strategic decisions, and inefficient customer segmentation, causing suboptimal retention strategies and marketing inefficiencies.

The Solution

ADA helped to implement a machine learning-driven Customer Lifetime Value (CLV) model, intricately forecasting customer spend and churn, which, alongside Salesforce integration, enhanced targeted marketing efforts and enabled data-driven decision-making to significantly improve customer retention and sales outcomes.

The new model resulted in an 8% reduction in churn rates, a 20% increase in revenue from CLV-based marketing campaigns, and a 17% boost in customer retention through personalized incentives.

The Results
The Challenge
The Solution
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ADA helped leading ecommerce brand enhance profitability and cashflow through improved inventory liquidation process

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

The Results
0 crores
Clearance of excess inventory in 2 months
0 %
Maintain Contribution Margin
The Challenge

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.

The Solution

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.

The Results
The Execution
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We helped a law enforcement agency fortify their operational capabilities and safeguard users against fraud ​

Case Study

We helped a law enforcement agency fortify their operational capabilities and safeguard users against fraud ​

The Results
0
Illegal loan apps shut down​
0 k
Users saved from the clutches of high interest rates and loan wavers ​
0 Bn
Rp of addressed frauds​
The Challenge

Our client is a premier law enforcement body in Hyderabad, specializing in the investigation of money laundering and foreign exchange violations, committed to preserving the economic security of India.​

The agency faced the significant task of recovering over Rp 8 billion siphoned off by instant loan apps during the COVID-19 crisis. These apps preyed on the financial desperation of individuals, charging predatory interest rates of over 30%, leading to unlawful money extraction from the innocent. ​

The directorate’s mandate involved the prevention of such fraudulent activities and the exposure of these schemes through analysis of bank and payment gateway transaction data.​

The Solution
1 Fraudulent Account Tracking

In response to the challenge of identifying and mitigating fraudulent financial activities, our comprehensive approach encompassed the following strategic actions. We established a robust monitoring system that diligently tracked suspicious accounts, ensuring a detailed profiling and mapping of associated behaviors.​

2 Data Aggregation

Leveraging our advanced data collection methodologies, we aggregated transactional data from a multitude of financial institutions and payment gateways associated with the loan applications in question.​

3 Sophisticated Data Processing

Our solution was adept at pre-processing the vast data sets. We employed pivot building techniques to consolidate transactional information, which was pivotal in establishing clear money trails and enhancing the visualization of complex financial networks.

4 Process Automation

By automating the detection and tracing processes, we significantly streamlined the identification of fraudulent money trails. This automation has provided Enforcement Directorate officials with a powerful tool to expedite legal proceedings against confirmed fraudsters, thereby reinforcing the integrity of the financial system.​

Through these measures, we have fortified the operational capabilities of the enforcement directorate, facilitating a more effective and efficient approach to safeguarding economic interests and upholding fiscal law.

The Results
The Challenge
The Solution
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We enabled a leading ecommerce player in beauty & personal care category to boost conversion rates and drive revenue

We enabled a leading ecommerce player in beauty & personal care category to boost conversion rates and drive revenue

The Results
0 %
Increased Conversion Rates
0 %
Reduced Market Spend
The Challenge

Our client, a premier online marketplace specializing in Beauty & Personal Care (BPC), boasts a robust customer base of 35 million. Their objective is to enhance the shopping experience and increase the conversion rate through precision-targeted advertising strategies.

The client aimed to optimize their marketing efficiency by reducing expenditure while simultaneously boosting conversion rates in the highly competitive BPC sector. They recognized the potential of advanced data segmentation and Recency, Frequency, Monetary (RFM) analysis as pivotal tools for reaching and engaging the most receptive customers.

The Solution
1 ADA’s leveraged segmentation techniques combined with RFM to effectively target buyers Discovery
  • Discovery: Critical evaluation of existing customer segments
2 Segmentation Algorithm
  • Segmentation was redefined based on recency, frequency, and monetary
  • Multiple clustering algorithms employed to create 4 genuine clusters
3 Cluster-based Offer
  • Separate & personalized offers were designed for buyer segments based on segment characteristics.
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The Results
The Challenge
The Approach
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We helped a leading retail brand reduce cart abandonment and improve business performance

We helped a leading retail brand reduce cart abandonment and improve business performance

The Results
0 %
Decrease in Cart Abandonment Rate
Improved login process and optimized delivery lead time
The Challenge

The client was experiencing a high cart abandonment rate that was driving an estimated $2 million in lost revenue and suppressing overall conversion performance. Customers were dropping off at multiple points in the checkout journey, signalling friction in key steps such as login, delivery selection, and pricing transparency.

Limited visibility into user behaviour made it difficult to pinpoint exactly where and why customers were abandoning their carts. At the same time, rising competition meant even small checkout inefficiencies could push customers to alternative platforms.

The client needed a data-driven approach to diagnose checkout bottlenecks, streamline the purchase experience, and reduce abandonment without eroding margins through excessive discounting.

The Execution

The client faced challenges with a cart abandonment rate which led to an estimated revenue loss of 2 million USD and diminished conversion rate, signaling a need for strategic intervention.

ADA helped to analyze the checkout journey to understand user behavior and checkout funnel to identify critical abandonment stages.

Hypothesis testing and experimentation with strategies aimed at reducing abandonment, such as lowering delivery charges and incentivizing cart completion with discounts and timely engagement.

The new strategy led to simplify the login process, delivery lead times and checkout experiences and reduced cart abandonment.

The Results
The Challenge
The Execution
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