Create a game-changing Artificial Intelligence strategy
A sound AI business strategy is vital for those looking to harness the transformative power of tech. The principles? Defining clear objectives, understanding where to play, and identifying how to win.
By assessing data readiness, prioritizing impactful use cases, and building cross-functional teams, organizations can create an AI strategy roadmap that guides successful AI implementation strategies, positioning them for future growth.
Customized AI strategies
Our team builds bespoke enterprise AI strategies tailored to your specific business goals and market demands. Our solutions aren’t one-size-fits-all.
Diverse, expert guidance
Our collective intelligence—with talent from five continents, 18 offices, and over 50 nationalities—provides insight based on extensive experience and the latest AI advancements.
Streamlined AI adoption
Our straightforward approach speeds the adoption of AI & Gen AI, with easy-to-follow roadmaps, smart tips, and practical frameworks for smooth integration.
Maximized ROI
Get the most out of your AI investments with strategies that boost innovation, efficiency, and real-world results the impact your triple bottom line: people, planet profit.
Customized AI strategies
Our team builds bespoke enterprise AI strategies tailored to your specific business goals and market demands. Our solutions aren’t one-size-fits-all.
Diverse, expert guidance
Our collective intelligence—with talent from five continents, 18 offices, and over 50 nationalities—provides insight based on extensive experience and the latest AI advancements.
Streamlined AI adoption
Our straightforward approach speeds the adoption of AI & Gen AI, with easy-to-follow roadmaps, smart tips, and practical frameworks for smooth integration.
Maximized ROI
Get the most out of your AI investments with strategies that boost innovation, efficiency, and real-world results the impact your triple bottom line: people, planet profit.
Key Benefits & Target Indicators
2x faster
go-to-market
For businesses launching new products and/or services.
30% drop in
operational costs
Through AI-driven optimization, cutting out manual tasks and freeing your team to focus on more important initiatives.
25-35% improved
decision-making
Business judgements are quicker and more accurate thanks to data-driven insights and predictive analytics from AI.
20-30% increase
in productivity
By accelerating processes through AI-driven automation.
2x faster
go-to-market
For businesses launching new products and/or services.
30% drop in
operational costs
Through AI-driven optimization, cutting out manual tasks and freeing your team to focus on more important initiatives.
25-35% improved
decision-making
Business judgements are quicker and more accurate thanks to data-driven insights and predictive analytics from AI.
20-30% increase
in productivity
By accelerating processes through AI-driven automation.
Retail, Luxury & Consumer Goods | Industry Use Case
AI-driven demand forecasting
AI-driven demand forecasting
Challenge:
Tchibo faced difficulties in accurately predicting product demand, which led to inefficiencies in inventory management and logistics. The company needed a simple solution to enhance forecasting capabilities.
Solution:
An AI-driven service utilizing Google’s Vertex AI, analyzing over three years of product, marketing, sales, and logistics data to predict online demand for products up to 84 days in advance.
30%
Improved demand forecasting.
20%
Reduced excess inventory costs due to better alignment of supply with demand.
25%
Less time spent on logistics planning.
* For illustrative purposes, based on publicly available information
Retail, Luxury & Consumer Goods | Industry Use Case
AI-driven demand forecasting
AI-driven demand forecasting
Challenge:
Amazon faced the challenge of maintaining efficiency and responsiveness within its vast supply chain network. Traditional forecasting methods were often inadequate in predicting demand fluctuations, leading stockouts or excess inventory.
Solution:
An AI-driven supply chain optimization system that leverages machine learning and predictive analytics. The system analyzes massive troves of data from various sources to improve demand forecasting accuracy.
30%
Reduction in inventory costs.
95%
More accurate demand forecasting.
20%
Reduced delivery times through optimized logistics.
* For illustrative purposes, based on publicly available information
Partnering with the best in tech
Ready to unlock the full potential of AI? Let’s develop a winning strategy that takes you above and beyond the competition.