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We helped a leading ecommerce brand increase conversion and improve automation-driven marketing efficiency

We helped a leading ecommerce brand increase conversion and improve automation-driven marketing efficiency

Results
0 %
Increase in Conversion Rate​
0 hours
Reduction in processing time​
0 %
Reduction in manual effort
The Challenge

The client’s marketing agility was stifled by manual data processes for cohort creation and CRM updates, affecting stakeholder activities and the need for real-time data to enhance marketing conversion rates.​

Solution

ADA helped to implement  a comprehensive automation solution to upgrade its marketing efforts, involving an automated cohort pipeline, scalable Amazon S3 data storage, and Airflow for systematic task scheduling, resulting in greater operational efficiency and data handling precision.​

The new automation in marketing operations led to an 89% decrease in manual workload and cut processing time by three hours, while also achieving a 4% uplift in conversion rates, illustrating the significant benefits of leveraging technology to enhance business outcomes in e-commerce.​

Results
Challenge
Solution
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We elevated profit margins of a leading Food Delivery & Quick Commerce brand with our Strategic Pricing Solution

We elevated profit margins of a leading Food Delivery & Quick Commerce brand with our Strategic Pricing Solution

Results
0 %
Increase in Order Rate
0 %
Revenue growth
0 %
Overall Orders Improved
Challenge

The client is a leading food delivery and Q-Commerce platform in India, with over 100 million customers and a revenue of $900 million. They are revolutionizing the industry with their  technology and commitment to customer satisfaction​

The client was losing ground to competitors’ pricing strategies, impacting customer retention and market share, while needing to boost these metrics without compromising on profitability.​

Solution

ADA designed a data-driven Strategic Pricing Solution that replaced broad, one-size-fits-all promotions with precise, behaviour-based incentives aligned to the client’s growth and profitability goals.

We began by analysing historical order data, customer lifetime value, and price sensitivity patterns to identify meaningful behavioural segments. Customers were then grouped into frequency-based and value-based buckets, enabling tailored cashback strategies that encouraged faster repeat purchases without overspending on incentives.

1 Customer Segmentation Framework

Classified users by purchase frequency, order value, and responsiveness to promotions to target incentives where they would drive the most incremental impact.

2 Dynamic Cashback Strategy

Designed time-bound cashback offers that expired within a few days, creating urgency while maintaining tight control over promotional spend.

3 Profitability Guardrails

Implemented cost-per-incremental-order thresholds and contribution margin tracking to ensure all campaigns stayed within profitability targets.

4 Continuous Optimisation Engine

Ran A/B testing and performance monitoring to refine offer levels, timing, and audience selection in real time, improving effectiveness over successive campaigns.

5 Seamless Platform Integration

Embedded the framework into the client’s pricing and campaign systems so teams could launch, track, and optimise promotions at scale.

Results
Challenge
Solution
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How a Global Snacks Company Gained Cross-Channel Visibility into Brand Performance 

How a Global Snacks Company Gained Cross-Channel Visibility into Brand Performance 

The Results
0 %
GMV growth
0 %
efficiency gain
0
platforms unified into single dashboard
The Challenge

A global snacking company was operating across Shopee, Lazada, TikTok Shop, and Amazon with no unified view of brand performance. Each platform had its own analytics, its own metric definitions, and its own reporting format. When leadership asked “how is the brand performing?”, the answer required manual consolidation across platforms and days of analyst time.

Marketing assets ran across marketplaces with no systematic way to understand which creative was driving performance on which platform. The company was investing in marketing without the visibility to optimise spend.

The Solution

ADA deployed Intelligent Commerce for unified visibility across all platforms. The solution consolidated data from Shopee, Lazada, TikTok Shop, and Amazon into one dashboard with consistent metrics.

P&L forecasting that took 60 minutes became a 1-minute query, 98% efficiency gain. Cross-platform brand performance analytics showed what was happening across the portfolio. AI-powered creative automation scaled content production, and marketing ROI visibility was finally enabled.

 

Results
Challenge
Solution
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How a Leading Retailer Cut P&L Forecasting From 60 minutes to 1 minute 

Industry type

How a Leading Retailer Cut P&L Forecasting From 60 minutes to 1 minute 

Where every touchpoint earns trust, every interaction creates value, and every decision is powered by realtime insight.
The Results

98% efficiency gain in P&L forecasting | 90% efficiency gain in sales analysis | 80% efficiency gain in budget optimization | 80% GMV growth

0 %
Efficiency Gain in P&L Forecasting
0 %
Efficiency Gain in Sales Analysis
0 %
Efficiency Gain in Budget Optimization 
0 %
GMV Growth
The Challenge

A personal care retailer’s ecommerce team was trapped in manual work. P&L forecasting: 60 minutes. Budget optimization: 5 minutes per query. Sales analysis: 10 minutes per request. The team spent their time pulling data from multiple systems and reconciling numbers, not making decisions. By the time insights were ready, the opportunity had often passed. SKU-level performance went unanalyzed because nobody had time to dig. Product potential was going unrecognized.

The Solution

ADA deployed AI Command Center with CoPilot, enabling natural language queries against commerce data. The team could ask “What’s the P&L forecast for next month?” and get an answer in one minute instead of building a 60-minute report.

The system surfaced SKU-level patterns the team had never seen products underperforming relative to category benchmarks, inventory imbalances across channels, campaign timing mismatches. Analysts stopped building spreadsheets and started acting on recommendations.

Results
Challenge
Solution
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We delivered 74% ROI for a Global Pet Care Leader with AI-driven Bundling

We delivered 74% ROI for a Global Pet Care Leader with AI-driven Bundling

The Results

The campaign didn’t just resonate, it converted, turning a regulatory challenge into a mobile marketing success.

Brand Interest & Awareness
  • 4.6× increase in branded search between October and December
  • Steady, month-on-month growth in web traffic and engagement
Performance & Acquisition

Through ongoing optimisation and AI-powered signal learning:

  • Conversions increased by 33%
  • CPA dropped by 89%
  • Direct traffic surged by 471%, reflecting stronger trust, recall, and word-of-mouth
Media & Strategy Impact
  • High-impact formats delivered scale across parents’ daily digital touchpoints
  • Parenting communities and KOL recommendations built credibility and mid-funnel momentum
  • Meta ASC became a standout innovation, outperforming manual campaigns and proving viability for financial services
  • Dual PMax streams delivered a 45% uplift, thanks to smarter segmentation of promotional vs. always-on periods
0 %
Project ROI
0 %
ROI Uplift on the budget spent for bundles
The Challenge

A top global pet care brand allowed each distributor to create their own product bundling schemes, leading to inconsistent offers, poor targeting, and low ROI from promotions. With no centralised view of order and product-level data, bundling strategies lacked insight into customer preferences and failed to maximise returns.

  • Fragmented bundling decisions by distributors
  • No consolidated order & product-level data
  • Lack of product affinity insights by country and segment
  • Bundles are often mismatched to actual customer buying patterns
  • Limited ability to track ROI on bundles
The Solution
  • We unified order and product-level data across markets via the ADA Data Accelerator Platform
  • Developed a product recommendation algorithm to identify high-performing bundle combinations
  • Standardised bundling strategy, limiting combinations to proven high-affinity flavours per country
  • Implemented ROI tracking dashboards to monitor bundling performance over time
  • Aligned distributors on data-backed bundling rules for consistent execution

‍

The Execution

Our AI-powered platform transforms fragmented data into a cohesive, intelligent strategy, as demonstrated by our partnership with a leading pet care brand. Here is how our solution optimises product bundling to maximise ROI and align business operations.

1. Data Centralisation & Insights

The first step was to address the challenge of decentralised and fragmented data. Using the ADA Data Accelerator Platform, we unified all order and product-level data from various markets and distributors into a single source of truth. This critical process not only provided a consolidated view but also enabled us to move beyond gut-feel decisions. The platform’s AI capabilities then analysed this data to uncover hidden insights into product affinity and customer buying patterns by country and segment, revealing which combinations actually resonated with consumers.

2. Predictive Bundling Strategy

With a centralised view and deep insights, our solution developed a custom product recommendation algorithm. This algorithm identified the most high-performing bundle combinations, providing a data-backed blueprint for success. By standardising the bundling strategy, we were able to limit combinations to only those with proven high-affinity flavours per country. This eliminated mismatched bundles and ensured that every offer was tailored to actual customer preferences, directly addressing the core challenge of inconsistent promotions.

3. Performance Monitoring & Cross-Team Alignment

The final phase was to ensure the new strategy was both adopted and sustained. We implemented ROI tracking dashboards that provided a clear, real-time view of each bundle’s performance over time. This transparency enabled the brand to monitor its returns and make informed decisions. Crucially, we aligned all distributors on the new, data-backed bundling rules. This ensured consistent execution across all markets, transforming the brand’s promotional approach from a fragmented, low-ROI activity into a highly profitable and disciplined operation

Results
Challenge
Solution
Execution
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We enabled Real-Time Dynamic Pricing to Deliver 183% ROI and 17% performance uplift for a global beauty brand

We enabled Real-Time Dynamic Pricing to Deliver 183% ROI and 17% performance uplift for a global beauty brand

The Results

The campaign didn’t just resonate, it converted, turning a regulatory challenge into a mobile marketing success.

Brand Interest & Awareness
  • 4.6× increase in branded search between October and December
  • Steady, month-on-month growth in web traffic and engagement
Performance & Acquisition

Through ongoing optimisation and AI-powered signal learning:

  • Conversions increased by 33%
  • CPA dropped by 89%
  • Direct traffic surged by 471%, reflecting stronger trust, recall, and word-of-mouth
Media & Strategy Impact
  • High-impact formats delivered scale across parents’ daily digital touchpoints
  • Parenting communities and KOL recommendations built credibility and mid-funnel momentum
  • Meta ASC became a standout innovation, outperforming manual campaigns and proving viability for financial services
  • Dual PMax streams delivered a 45% uplift, thanks to smarter segmentation of promotional vs. always-on periods
0 x
increase in branded search between Oct & December
0 %
increase in conversion
0 %
surge in direct traffic
The Challenge

A top global beauty brand generally generates millions of USD during peak campaign hours, but struggles to make pricing truly dynamic to boost its revenue further. They needed to process millions of data points every 15 minutes while facing platform restrictions that prevented automated price changes.

  • Millions of data points requiring near real-time processing
  • Key sales windows during campaign hours
  • Platform limitations are blocking automated price updates
  • Risk of lost revenue from static pricing during demand surges
The Solution
  • Deployed the ADA Data Accelerator Platform to enable live campaign performance tracking
  • Developed SOP with multiple stakeholders to execute dynamic repricing on key SKUs
  • Applied data science criteria to determine optimal pricing adjustments
  • Integrated process into campaign operations for rapid action
The Execution

Our platform helps brands go beyond static pricing by using real-time data to identify and capture new revenue opportunities, as demonstrated by our work with a top global beauty brand. Here’s how our solution enables a truly dynamic pricing strategy, even with complex platform restrictions.

1. Real-Time Data Activation

The first step was to address the challenge of processing millions of data points in near real-time. We deployed the ADA Data Accelerator Platform to track live campaign performance as it happened. This platform acted as a central hub, giving the brand a continuous, up-to-the-minute view of sales, demand, and other critical metrics during their peak campaign hours. This live data feed was crucial for moving away from a static pricing model and reacting instantly to market changes.

2. Data-Driven Strategy & Recommendations

With the live data flowing, our team applied a robust set of data science criteria to analyse performance and determine the optimal pricing adjustments. This removed guesswork from the process. By analysing demand surges and other key factors, our system provided data-backed recommendations on which SKUs should be repriced and by how much, ensuring every adjustment was designed to maximise revenue.

3. Operational Integration & Rapid Execution

The final and most critical step was overcoming the platform limitations that prevented automated updates. Instead of building a direct integration, we developed a standard operating procedure (SOP) with multiple stakeholders. We integrated the entire process from data analysis to recommended changes directly into the brand’s campaign operations. This streamlined workflow allowed key personnel to act on our insights quickly and manually execute the dynamic repricing on key SKUs

Results
Challenge
Solution
Execution
Get in touch

Let’s turn your data and AI into measurable outcomes!

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ADA implemented Price Intelligence for a Fortune 500 baby milk player to drive 178% ROI and Cut Discounts by 30%

ADA implemented Price Intelligence for a Fortune 500 baby milk player to drive 178% ROI and Cut Discounts by 30%

The Results
0 %
‍Project ROI
0 %
Reduction all discount schemes > budget savings
The Challenge

A Fortune 500 baby milk brand had fallen into a deep discounting spiral on its ecommerce channels, running frequent, uncoordinated promotions that eroded margins and conditioned customers to only buy on sale. With no central price strategy or tracking, profitability was shrinking, and the cycle showed no signs of stopping.

  • 2M+ ecommerce orders, fragmented data
  • Heavy reliance on discounts
  • No centralised pricing view
  • Customers conditioned to wait for sales
  • Disconnected pricing decisions across teams
The Solution
  • We automated ingestion and unification of all e-commerce data via ADA’s Intelligent Commerce Data Accelerator
  • We’ve built custom SKU-level price elasticity models to identify optimal pricing strategies per product
  • We created live trackers and performance dashboards embedded into client workflows to monitor price changes vs targets
  • Consulting-led activation to align teams, apply insights, and sustain pricing discipline for long-term ROI
The Execution

Our AI-powered platform provides a holistic solution for managing and optimising pricing strategies, as demonstrated by our partnership with a leading baby milk brand. Here’s how our system works in practice to drive profitability and end the cycle of deep discounting.

1. Data Ingestion & Centralisation

The project began by addressing the brand’s core challenge: fragmented data. Our solution, the Intelligent Commerce Data Accelerator, automated the ingestion and unification of over 2 million e-commerce orders. This crucial first step brought all of the brand’s dispersed data that sits across various channels and countries into a single, unified platform. This ended the disconnected decision-making across teams and established a clear, central view of all pricing and sales activities.

2. AI Analysis & Predictive Modelling

With the data consolidated, our AI engine went to work. We built custom SKU-level price elasticity models to analyse the historical data on product demand and customer behaviour. This allowed us to understand exactly how price changes would affect sales volume for each product. By identifying the optimal pricing strategy for every SKU, we provided the brand with predictive insights, moving them away from an intuition-based, reactionary approach to a data-driven one.

3. Real-Time Action & Sustained Discipline

The final step was translating these insights into sustained business impact. We created live trackers and performance dashboards that were integrated directly into the client’s daily workflows. These dashboards enabled the brand to monitor price changes against targeted outcomes in real time. Through a consulting-led activation process, we ensured teams were aligned on the new strategy and maintained pricing discipline.

Results
Challenge
Solution
Execution
Get in touch

Let’s turn your data and AI into measurable outcomes!

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

Case Study

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

The Results
By providing consolidated, actionable data insights, we empowered Clothing Brand A to leverage previously “lost” time and information effectively, resulting in a remarkable 13.6% increase in Gross Merchandise Value (GMV)
Our proprietary AI Signals instantly analyse, performance trends, enabling the brand to identify best-selling products and market opportunities. This intelligence provides AI-driven recommendations, allowing them to swiftly close sales gaps and maximise revenue.
Our platform offers real-time flagging of potential risks, allowing the brand to proactively mitigate issues before they impact performance. This ensures they remain on track with their goals and significantly reduces potential losses.
The automation of data consolidation eliminated up to 20 man-hours per week previously spent on manual spreadsheet compilation. This freed up valuable human resources, enabling respective business units to minimise their lead time in decision-making by up to 2 days , fostering a more agile and efficient operation.
The Challenge

Clothing Brand A, a multinational retailer operating across three countries and utilising four distinct sales channels (their brand .com and major marketplace platforms like Lazada, Shopee, and TikTok), faced significant hurdles in consolidating and generating timely business reports. Their existing manual process, requiring a full week to aggregate data from multiple sources, led to several critical issues:

  • Outdated Reports: Data became irrelevant by the time it was compiled.
  • Potential for Human Error: Manual data entry and consolidation introduced inaccuracies.
  • Missing Data Gaps: Incomplete information hindered a holistic view.
  • Delayed Reactions: Inability to react swiftly to rapidly changing purchasing behaviours, leading to lost sales opportunities.

The brand urgently sought a solution to centralise their fragmented data into a single source of truth, accessible in real-time to all stakeholders.

The Strategy

Our approach was systematic, focusing on understanding the client’s unique needs and delivering a tailored, intelligence-driven platform.

  1. Deep Dive: Understanding the process and pain-points
    We began with a comprehensive discovery phase, engaging directly with the client to understand their day-to-day data processes, the specific challenges they encountered when pulling reports from various platforms, and their key metrics. This crucial step allowed us to identify current reporting consolidation methods and pinpoint opportunities for automation.‚:
  2. Seamless Integration: Consolidating Data Streams
    With a clear understanding of the pain points, our team proceeded to integrate all of Clothing Brand A’s diverse data sources directly into our intelligence platform. This process ingested fragmented data points, transforming them into an all-in-one, AI-powered dashboard.‚:
  3. Strategic Alignment: Actionable Insights for Business Goals
    Beyond mere data consolidation, we aligned our efforts with Clothing Brand A’s specific business objectives and goals. This enabled us to create a “top-to-bottom” funnel view within our platform. Powered by our Intelligence Commerce capabilities, this allowed the business to seamlessly navigate from overall store performance down to granular individual product insights, providing clarity, speed, and accuracy in their decision-making.
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