Data Optimized Customer Experience

What is Data Optimized Customer Experience?

Data Optimized Customer Experience describes the data-driven improvement of all touchpoints that your customers have with your online shop. By evaluating usage, transaction and behavior data, you can adapt the shopping experience to the individual needs of your target groups. AI technologies play a central role here: In addition to classic chatbots or personalized product recommendations, the digital shopping assistant (also known as a conversational shopping assistant) is used in particular, which actively advises customers, suggests suitable products and presents alternatives - without manual searching and comparison.
In the area of planning and conception, we work with you to develop a strategy for how you can best use your existing data to make your online offering more interactive, user-friendly and customer-oriented.

Why is Data Optimized Customer Experience important?

Higher conversion rates
Tailor-made offers and recommendations have been proven to increase the likelihood of a purchase and increase your sales.
Easier shopping experience
Instead of searching for information themselves, the digital shopping assistant leads customers directly to the right products - including comparisons, explanations and alternatives.
Personalized customer experience
With data-based insights and AI support, you can offer every visitor an individual shopping experience.
Stronger customer loyalty
If customers feel that their needs are understood and taken seriously, they will be happy to come back and recommend your offer to others.
Competitive advantage
AI-based automation canCompanies that invest early in data and AI-supported customer experiences clearly differentiate themselves from the competition and create long-term advantages.

Our approach to Data Optimized Customer Experience

Data analysis & segmentation
- Identification of all relevant data sources (e.g. customer data, product data, click and search behavior)
- Segmentation into target groups or behavior patterns to enable individual offers and interactions
Personalization concept
- Development and implementation of dynamic product recommendations
- Conception of a next-best-offer system for targeted cross-selling and upselling
AI-supported shopping assistants
- Digital shopping assistant: A conversation-based interface that actively advises customers, asks questions, provides suitable recommendations and presents product alternatives - without anyone having to search for information themselves
- Seamless integration into the online shop so that the assistant can retrieve real-time information on inventory, prices and product details
Technical architecture & integration
- Use of powerful cloud services (e.g. Google Cloud, AWS, Azure) and modern data infrastructures (data lakes, data warehouses)
- Integration of the assistant and other personalization functions in existing eCommerce, CRM and ERP systems
Monitoring, testing & optimization
- Establishment of a performance monitoring and MLOps process for continuous improvementContinuous measurement of success using KPIs, A/B tests and customer feedback
- Iterative adaptation of recommendations and dialogs to continuously improve the user experience

What results (deliverables) do you receive after/ during / through Data Optimized Customer Experience?

‍Personalization and automation strategy:
‍A roadmap that shows how you can effectively use your existing data, AI tools and technologies to optimize shopping experiences.
Implemented recommendation engine:
A system that specifically suggests products to customers and opens up cross- and upselling potential.
Digital shopping assistant (conversational):
An interactive, AI-based consulting solution that provides product comparisons and tips and thus enhances the shopping experience.
Reporting system & monitoring:
Dashboards, KPI overviews and analyses to continuously measure success and optimize your customer interactions.
Scalable, future-proof architecture:
A technical basis that is flexibly geared towards growth and can be quickly adapted to new requirements.

Why we are the right partner

‍Expertise in eCommerce and AI: We combine many years of experience in digital trading processes with in-depth know-how in data science and software development..‍
Customer-centric focus: Our solutions are designed to offer your customers real added value and thus increase satisfaction and brand loyalty.
Agile and collaborative collaboration: Transparent communication, short feedback loops and the involvement of your team ensure a successful project result.‍
Data protection and compliance: When collecting and using customer data, we always ensure GDPR compliance and the highest security standards.such as fraud management.
Long-term support: We accompany you throughout the entire project and also support you with further developments and adjustments after go-live.

Matthias Dietrich

CEO & Founder

As the founder and managing director of foobar Agency, Matthias brings over 20 years of experience in implementing and strategizing eCommerce projects. His expertise helps companies effectively translate technological innovation into business success.

Fritz has 10 years of experience in strategic consulting for medium-sized businesses and previously served as Head of eCommerce at Burda Digital, where he successfully guided brands like cyberport. His strategic expertise combines practical implementation with visionary approaches.

Fritz Schildt de Baey

Associate Partner

Fritz has 10 years of experience in strategic consulting for medium-sized businesses and previously served as Head of eCommerce at Burda Digital, where he successfully guided brands like cyberport. His strategic expertise combines practical implementation with visionary approaches.

Max Lüling

Advisor

Max brings more than 20 years of experience in consulting and building digital business models. His focus lies on digitizing and transforming traditional business structures to prepare companies for future challenges.

Personalized shopping experiences through intelligent data usage

Data Optimized Customer Experience

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