AI in Sales & Marketing: elevating your customer journey
At ML6, we leverage AI to deeply understand and improve your customer journey. By automating tasks and providing insights, we help you enhance customer relationships and satisfaction. Discover how we can help you achieve greater customer success.
Introduction to Data Driven Sales at ML6
Sales & marketing executives are rapidly adopting AI. Machine learning accelerates sales, unveils customer insights, and enhances competitiveness.
AI sales optimization
Machine learning streamlines sales, fosters proactive decision-making, and drives revenue growth.
Customer insights through AI
AI reveals customer preferences, enabling personalized campaigns for maximum engagement and loyalty.
Empowering sales leaders
ML6 equips leaders with AI expertise, ensuring effective deployment and staying ahead in the AI-driven landscape.
Enhance the customer journey
Artificial intelligence in sales and marketing is expected to unlock a new way of creating a truly customer-centric experience and will fundamentally redesign the customer journey.
01
Understand your customer base
Machine learning elevates the transparency of your customer base. It augments your customer segmentation (and industrialises its usage), drives insights into their behaviours & sentiment and ultimately enables you to reduce churn effectively.
02
Create true customer intimacy
AI enables sales reps to focus on nurturing client relationships by automating tasks like CRM documentation and email drafting. It provides valuable insights for optimizing interactions, such as product recommendations and customer preferences.
03
Increase the overall customer satisfaction
Bringing this all together enables organisations to increase their overall customer conversion and satisfaction by offering the right product, at the right time and for the right price, as well as creating a unique experience while using the product.
Use Cases
At ML6, we specialize in AI solutions to enhance your customer journey, tailored to your needs.
Autonomous AI agents
AI manages customer interactions and tickets with persona-aligned messaging.
Lead scoring and prioritization
Automatically prioritize leads based on predictive market signals.
Personalised marketing
Customize market messages for individual prospects based on their unique traits.
Augmented CRM documentation
Automatically prioritize leads based on predictive market signals.
Salesforce coaching
Offer personalized coaching to sales agents using meeting transcripts to enhance workforce skills.
Product recommendation
Create a product recommendation engine to match customers with suitable products from your database.
Automated sales collateral generation
Automate the production of pitch decks in line with your brand identity and automatically tailored to the RFP or sales conversations
Customer Lifetime Value Prediction
Predict CLV and allocate resources and promotions efficiently to high-value prospects and customers.
Dynamic pricing
Enable dynamic value based pricing based on competitive intelligence and customer behaviour insights
Differentiated customer experiences
Leverage generative AI to create unique customer experiences (e.g., An AI recipe generation tool for retailers)
Customer retention
Identify custom signals indicating potential churn behaviour and prescribe mitigating strategies to retain the customer
Our Approach
Our approach to AI consists of 4 key dimensions. It’s critical to generate tangible value in each dimension.
Philosophy
We believe strong data-driven sales initiatives are founded on clearly articulated business objectives, data centricity, actionable insights, and continuous learning.
Key success factors
Start early
AI boosts data quality and quantity, turbocharging your ability to scale AI programs across value streams.
Keep your eye on the price
Each project phase must show clear business value, ensuring focused attention and stakeholder buy-in throughout the program.
Adoption is key
AI's complexity, despite explainability, complicates adoption. Early stakeholder involvement and strong change management are vital for success.
Innovate like a scale-up
Allocate time for exploration and experimentation with new tech, focusing on priority areas. At ML6, our engineers dedicate about one day per week to non-project research.
Methodology
Information acquisition
Identifying the right data sources—both internal and external—is key. They shape AI model accuracy and sales results.
Information analysis
Subsequently data analysis will enable your organisation to predict customer behaviour, based on the relevant features identified by the model.
Decision selection
In the decision selection phase, these insights will be translated in the business decision to be taken (e.g., which sales leads to pursue).
Action implementation
In mature initiatives, the model may prescribe and even execute the necessary follow-up actions, like tailored lead outreach.
Success Stories
Increasing the sales hit rate to 81%Â at Randstad with data driven sales
We developed a scalable AI solution that allows their sales consultants to focus their time on contacting companies who have real potential for Randstad, and enabling them to build conversations based on accurate and relevant informationÂ
Recommendation engine for their online shop
We built a recommendation engine to further increase the customer experience, click-through and conversion rate in the online shop as an engine for top line revenue growth. Using AI to enable high-quality recommendations: automate and expand the existing recommendation process and integrate it into the online shop
Dynamic pricing
Policy Expert, a tech-forward home and car insurer, leverages data to revolutionize insurance with transparent policies, fair prices, and exceptional service. Their shift to dynamic online pricing, crucial for standing out in a market dominated by aggregators, involves deploying a reinforcement learning-based AI model. This model, informed by analysis of past quote outcomes, aims to refine pricing strategies and is slated for launch within the year, with further segmentation and tuning to follow.
Building together with clients
ML6 complements 10+ years of expertise in data science and machine learning, with a proven end-to-end track record of AI in sales and marketing.
We deliver cutting edge solutions, tailored to meet the unique needs of each client.
We are committed to deliver measurable improvements in sales performance.
We co-create with your internal teams to increase speed to value and optimise knowledge transfer.
We deliver ethical AI solutions and help you to to navigate the rapidly evolving regulatory landscape (e.g., EU AI Act or GDPR).
