CASE STUDIES

Generative AI Training: High-Tech Case Study

Leading high-tech enterprise software company

4-day intensive training, 40+ professionals

Focus: AI models, deployment, ethics

Learning Outcomes & Key Takeaways

1. AI Models

LLMs, GANs, Transformer architectures

2. Hands-on Experimentation

AI-powered content, chatbots, document automation

3. Deployment & Governance

Best practices, bias, fairness, transparency

4. Future Applications

Enhance workflows, identify integration points

Empowering the Nigerian Judicial Council with Generative AI

The Nigerian Judicial Council (NJC) faced challenges in managing legal documentation, streamlining case proceedings, and ensuring efficient access to legal resources. To address these issues, they engaged Muse Platforms to provide a 4-day comprehensive training program on Generative AI applications in the legal domain.

The training aimed to enhance legal document management, improve case processing efficiency, enable AI-assisted legal research, and ensure ethical AI usage. This initiative marked a significant step towards digital transformation in the Nigerian legal system, setting a precedent for AI-driven legal operations in Africa.

Training Program and Key Outcomes

Day 1: Introduction to Generative AI

Overview of Generative AI, its role in digital transformation, and key applications in the judiciary.

Day 3: AI-Powered Legal Research

Fine-tuning AI for legal reasoning, case law discovery, and AI-assisted judgment drafting.

Day 2: Implementing Large Language Models

Understanding BERT, GPT, and other LLM architectures, and their use cases in court administration.

Day 4: Ethical Considerations

Addressing bias, fairness, and transparency in AI-driven legal decision-making.

The training had a transformative impact, leading to significant improvements in legal operations.

Case Study: APAC Digital Transformation Leader Accelerates North American Footprint

Client Snapshot

Industry: Digital & Marketing Technology (Martech)
Role: Consultative VP, Data & AI

Challenges

Fragmented Sales Approach: Lack of cohesive pitches for diverse global verticals (Retail/CPG/Hi-Tech/Logistics/T&H)
Capability Gaps: Limited frameworks for new Adobe solutions (AEP, RT-CDP, CJA, AJO)
Delivery Inefficiencies: Need for consistent project governance, global teamwork, and client satisfaction metrics

Advisory Solutions

1.Business Growth

Developed structured 30-min, 1-hour, and 2-hour pitch formats
Strengthened Adobe alliances for pilot opportunities
Published thought leadership to boost brand presence

2. Capability Development

Created reference architectures, frameworks, and certification paths across US, India, and China teams
Defined industry-specific AI use cases and ISV integrations

3. Delivery Excellence

Implemented robust processes for project health checks (quality, budget, time)
Established global SOPs for user training, post-implementation support, and client renewals

Advisory Solutions

1.Stronger Pipeline

$20M+ in new opportunities for 2023

2. Enhanced Skill Base

35+ team certifications, forming three core global delivery squads

3. Elevated Adobe Status

Progress from Bronze to Silver tier, fueled by pilot projects and certification program

Aloola Advisory Services: Transforming a Data Collection Business for Global Growth

Advisory Approach

1. Consulting Business Model Transformation

Introduced solution packages (solution definition, pricing, lead gen, and recurring revenue models)

Leveraged Muse Platforms’ IP (presentations, frameworks) for rapid deployment

2. Go-to-Market Strategy

Developed B2B sales & marketing recommendations tailored to new, high-value enterprise clients

Set up an actionable sales pipeline with defined MQL tracking and conversion tactics

3.Delivery Organization Evolution

Established governance structures, streamlined onboarding, and implemented a clear hiring cadence
Aligned training approaches to support consistent, scalable global service delivery

Outcomes & Impact

Accelerated Time-to-Market: Faster adoption of new offerings through existing IP assets
Increased Revenue Potential: Clear productization strategy enables upsells and cross-sells
Stronger Operational Cohesion: Unified processes create a foundation for long-term, repeatable growth

CASE STUDY: TRANSFORMING TA DIGITAL

Role

Consultative Vice President, Data & AI (April 2019 – March 2021)

Context & Challenges

Limited Scale: Data team of just 4 FTEs needed rapid growth and robust capabilities
Evolving Martech Landscape: Urgent need to align services with emerging AI & Data Science demands
Adobe Partnership: Ambition to move beyond Silver-level certification to broaden client offerings and credibility

Approach

New Customer Acquisition
Onboarded 20+ New Enterprise Customers in 15 months
Strategic Expansion: Grew Data division from 4 to 75 FTE in 15 months, covering Analytics, Personalization, AI, Data Management, and more
Certification & Enablement: Drove multiple team certifications in Adobe Experience Platform (AEP), Analytics, Target, Marketo, and Campaign to strengthen TA Digital’s martech credentials

Outcomes & Impact

Company Sold to Omnicom
Adobe Platinum Partner Status: Upgraded from Silver through demonstrable expertise and high-value implementations
Substantial Revenue Growth: Expansion of data-driven service lines attracted enterprise clients seeking advanced analytics and personalization capabilities
Client-Centric Innovation: Delivered frameworks that enabled clients to modernize their digital experiences and scale data strategies effectively

CASE STUDY – ONLINE RETAILER

Background

A leading online retailer faced declining conversion rates attributed to changes in third-party cookie policies by major browsers. With the impending demise of third-party cookies impacting their ability to effectively target and engage customers, the retailer sought a solution to maintain and enhance their conversion rates.

Challenges: Third Party Cookies are going away

A prominent online retailer faced a notable decline in conversions following changes in third-party cookie policies. This transition rendered traditional tracking and targeting methods less effective, leading to diminished personalization and engagement. Particularly concerning was the challenge of retaining high-intent prospects who abandoned their shopping carts on the website, with no clear alternative solution. Additionally, the retailer relied heavily on Facebook for re-engaging these prospects.

Approach

We collaborated with the retailer to overcome third-party cookie limitations and re-engage abandoned cart prospects through a strategic shift towards leveraging first-party data. We assisted the retailer in leveraging a Customer Data Platform (CDP) to collect first-party data from website and customer interactions. Using advanced segmentation, we targeted high-intent prospects for personalized Facebook retargeting campaigns focused on abandoned cart items.

Solution and Results

Through the transition to first-party data and targeted Facebook retargeting campaigns, the retailer achieved the following outcomes:

Increased Conversion Rates: Personalized retargeting efforts based on first-party data insights led to a notable increase in conversion rates, as prospects responded positively to tailored ads highlighting their abandoned cart items.
Enhanced Customer Engagement: By leveraging first-party data for personalized retargeting on Facebook, the retailer deepened engagement with high-intent prospects, fostering loyalty and trust.
Optimized Marketing Spend: Targeted Facebook retargeting campaigns allowed the retailer to allocate marketing resources more efficiently, maximizing ROI and driving revenue growth.
Adaptation to Privacy Changes: Transitioning to first-party data helped the retailer adapt to evolving privacy regulations, ensuring compliance while maintaining effective marketing strategies.

Overall, by embracing first-party data and implementing targeted Facebook retargeting campaigns, the retailer successfully navigated the challenges posed by third-party cookie limitations, revitalizing conversions and bolstering customer loyalty in the process.

CASE STUDY – A NICHE E-COMMERCE RETAILER

Background

One of the largest e-commerce mattress retailer in the United States which also operates over 2,500 retail locations across the country. The company would like to leverage cutting-edge technology and data-driven insights to deliver a seamless and personalized shopping experience for its customers at all customer touch points.

Challenges: Omnichannel Customer Experience

The retailer struggles to personalize the customer experience, resulting in low conversion rates and high bounce rates on their website. Furthermore, the company lacks a cohesive approach to utilize customer data effectively, leading to missed opportunities for targeted marketing campaigns and personalized interactions.

Approach

We began by understanding their challenges and analyzing pain points in their customer acquisition strategy. Recognizing the need for a comprehensive solution, we integrated diverse data sources into Adobe RTCDP to provide a unified view of customer journeys. Leveraging advanced segmentation capabilities, we identified key audience segments based on behavior and demographics. Implementing Adobe Journey Optimizer (AJO), we designed and automated personalized customer journeys across multiple channels. By leveraging real-time data from RTCDP, we enhanced content delivery and engagement, while AJO’s analytics enabled us to track campaign performance and optimize strategies for improved ROI.

Solution and Results

By implementing Adobe RTCDP and AJO, the retailer successfully transforms its customer acquisition strategy, resulting in significant improvements in key performance indicators:

Increased Conversion Rates: Personalized marketing campaigns delivered through Adobe AJO lead to higher conversion rates as customers receive relevant offers and recommendations tailored to their preferences.
Improved Customer Engagement: By leveraging real-time customer data stored in Adobe RTCDP, retailer delivers personalized content and experiences across multiple touchpoints, leading to increased customer engagement and loyalty.

Enhanced ROI: The combination of Adobe RTCDP and AJO enables retailer to optimize its marketing spend by targeting high-value customer segments and continuously refining its strategies based on real-time analytics.

Overall, retailer achieves sustainable growth in customer acquisition and retention by leveraging Adobe’s advanced customer experience management solutions.

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Case Studies

Case Studies

Generative AI Training: High-Tech Case Study

Learning Outcomes & Key Takeaways

1. AI Models

2. Hands-on Experimentation

3. Deployment & Governance

4. Future Applications

Empowering the Nigerian Judicial Council with Generative AI

Training Program and Key Outcomes

Case Study: APAC Digital Transformation Leader Accelerates North American Footprint

Client Snapshot

Challenges

Advisory Solutions

Advisory Solutions

Aloola Advisory Services: Transforming a Data Collection Business for Global Growth

Advisory Approach

Outcomes & Impact

CASE STUDY: TRANSFORMING TA DIGITAL

Role

CASE STUDY – ONLINE RETAILER

Background

Challenges: Third Party Cookies are going away

Approach

Solution and Results

CASE STUDY – A NICHE E-COMMERCE RETAILER

Background

Challenges: Omnichannel Customer Experience

Approach

Solution and Results

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