(01)How does the AI learn from our product data?
Our AI analyzes your product catalog, sales history, and customer behavior to build personalized models. It learns which products sell together, optimal pricing points, and customer preferences—improving recommendations and predictions over time.
(02)Can we start without AI features and add them later?
Absolutely. You can launch with core e-commerce functionality and gradually enable AI features like personalized recommendations, dynamic pricing, and the shopping assistant as your catalog and traffic grow.
(03)What happens when the AI makes a wrong recommendation?
Our AI includes feedback loops—customers can dismiss recommendations, and the system learns from these signals. You also have full control to override AI suggestions, set product exclusions, and define business rules that take precedence.
(04)Should we develop a custom solution or use Shopify/WooCommerce?
The decision depends on your specific requirements. Shopify and WooCommerce offer fast time-to-market, lower initial costs, and proven features – ideal for standard e-commerce with up to 10,000 products. Custom solutions make sense for very specific business models (B2B pricing logic, complex product configurations, ERP integration), high transaction volumes, or when you need full control over data and performance. Hybrid approaches like headless commerce combine advantages: you use established e-commerce backends (Shopify, commercetools) as engines but develop individual frontend experiences. For most companies we recommend: start with established platforms, custom development only for true differentiators.
(05)How do we integrate payment providers securely and GDPR-compliant?
Payment integration is security-critical and regulated. Use established Payment Service Providers (PSPs) like Stripe, Adyen, or Mollie – they handle PCI-DSS compliance and provide ready-made SDKs. Never implement your own credit card processing. Best practices: Use tokenization (card data never stored on your servers), implement 3D-Secure for EU transactions, offer local payment methods (SEPA, Klarna, PayPal), and use webhook verification for status updates. GDPR compliance means: transparent privacy policy, processing only with purchase intent, storage in EU data centers (EU regions on AWS/Azure), and clear deletion timelines. Modern PSPs offer GDPR-compliant features out-of-the-box – but you must ensure correct implementation.
(06)How do we synchronize inventory between online shop and physical stores?
Inventory synchronization is critical for customer experience and operational efficiency. The solution: a central Inventory Management System (IMS) as single source of truth. Technical implementation: your e-commerce system and POS systems (Point of Sale) communicate in real-time with the IMS via APIs. With every sale – online or offline – inventory is updated. Implement safety stock levels to prevent overselling (reserve 5-10% for physical stores). Advanced setups use predictive analytics for automatic reorder triggers and multi-location inventory for click-&-collect or ship-from-store. Tools like Shopify POS, Lightspeed, or KORONA offer integrated solutions. For custom setups: use event-driven architecture (e.g., with Kafka) for reliable real-time synchronization even during system failures.
Have more questions? Contact us for personal consultation.