Intelligent Commerce

Accelerate Growth with ADA’s Intelligent Commerce Solution

From D2C to marketplaces and retail, ADA helps brands turn fragmented data into AI-powered growth solution. For CPG and retail brands, scaling across D2C, marketplaces, and retail is a complexity challenge that many businesses are facing these days; juggling multiple disconnected data, unpredictable demand, rising acquisition costs, and fragmented operations across regions. The results? Manual, error-prone data analysis, lack of actionable insights, slow decision making, which ultimately lead to miss revenue.

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From Data to Decisions: Powering Your Next Move

Our Intelligent Commerce Solution unifies your sales, marketing, and operational data into one AI-powered platform, helping teams forecast accurately, plan faster, and execute smarter.

Our AI predictive insights give commercial leaders the real-time visibility they need to proactively mitigate risks and make informed, data-driven decisions.

Marketers can accurately connect campaign spend to measurable ROI and prove the value of every dollar spent

Executing teams can reduce manual work and gain the clarity needed to focus on strategic planning and execute with speed and precision.

Why ADA

AI-powered solution to intelligently analyse, predict, and personalise, ensuring your goals are not just met, but exceeded

End-to-end visibility from store performance all the way to granular SKU levels

Seamlessly connects your D2C, marketplace, and retail channels to enable a cohesive omnichannel strategy

Unlock efficiency and empower your team to plan and execute with precision

Use Cases

Explore real-world applications of price intelligence, advanced forecasting models, purchase affinity analytics, and real-time flash sales tracking to help enterprises sharpen decision-making and drive smarter growth.

5.0

Price Optimisation

Objectives

A Fortune 500 baby milk brand had fallen into a deep discounting spiral on its e-commerce 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

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Solutions

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

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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.

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Outcomes / Business Value

+178%

Project ROI

30%

Reduction all discount schemes > budget savings

5.0

Forecasting model

Objectives

A top global grocery retailer was struggling to accurately forecast sales, preventing them from setting realistic targets and fairly assessing team performance. Data was scattered across brands, channels, and countries, making it difficult to compare top-down vs bottom-up forecasts or track accuracy over time.

Fragmented data across multiple sources

No standardised forecasting framework

Inconsistent targets across teams and markets

Limited visibility into forecast accuracy

Difficulty aligning business planning with actual performance

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Solution

We unified all sales data across brands, channels, and countries via the ADA Data Accelerator Platform

Built custom AI forecasting models (time series, organic growth, campaign uplift) to improve accuracy

Delivered trackers and dashboards for teams to monitor forecasts and compare top-down vs bottom-up results in real time

Embedded into workflows to ensure adoption and consistent performance tracking

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Execution

Driving Smarter Decisions with Unified Data

Our AI-powered solution works by transforming fragmented data into actionable intelligence, enabling you to optimise your business operations and accelerate growth. This is achieved through a three-step process:

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1. Unify & Consolidate Data

We begin by unifying and ingesting all data from across your business's brands, channels, and countries into a single, comprehensive platform. This process consolidates scattered information, providing a unified view of your real-time performance. Our platform ensures that your key performance indicators (KPIs) and business objectives are adopted and clearly displayed, giving you a holistic and accurate overview.

2. Analyse & Predict

With your data unified, our powerful AI capabilities analyse historical information on product demand, seasonality, user behaviour, and market trends. This analysis uncovers patterns that may be invisible to the human eye, providing a deeper understanding of your business landscape. Based on these insights, our predictive module generates accurate demand signals and forecasting recommendations, giving you a clear look into future outcomes.

3. Act & Optimise

The predictive outcomes and real-time performance data enable you to compare top-down and bottom-up results instantly. This clarity allows you to monitor your business's health and quickly accelerate your decision-making process. By providing a clear and accurate foundation for your strategy, our solution empowers you to pivot with confidence and maximise growth.

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Outcome / Business Value

+136%

Project ROI

+15%

Accuracy Uplift: Target & Forecasts

5.0

Purchase Affinity Modelling

Objectives

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

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Solutions

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

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Executions

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

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Outcomes / Business Value

+74%

Project ROI

+53%

ROI Uplift on the budget spent for bundles

5.0

Real-time Flash Sales Performace Tracking

Objectives

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

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Solutions

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

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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

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