E-commerce AI

Τέσσερις ειδικοί σχεδιάζουν ελεγχόμενο multi-agent AI workflow για επιχειρηματική αυτοματοποίηση

ARCANA: τι διδάσκει ένα αναστοχαστικό multi-agent σύστημα στις επιχειρήσεις

Το ARCANA δείχνει πώς ρόλοι, validators, αναστοχασμός και όρια κόστους κάνουν ένα multi-agent AI workflow πιο ελέγξιμο και μετρήσιμο για επιχειρήσεις.

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Relevant professional insight for lead generation and digital strategy of TWO DOTS

The Gap Between Perception and Reality Regarding Artificial Intelligence in Marketing

Η Τεχνητή Νοημοσύνη περνά από τον πειραματισμό στην επιχειρησιακή εφαρμογή, με έμφαση στη στρατηγική ενσωμάτωσή της στο e-commerce. Αντί να βασίζονται μόνο σε υποσχέσεις αυτοματοποίησης, οι επιχειρήσεις πρέπει να γεφυρώσουν το χάσμα μεταξύ αντίληψης και πραγματικότητας, αξιοποιώντας δεδομένα και ανθρώπινη κρίση. Η AI μπορεί να μειώσει τον χρόνο παραγωγής και να ενισχύσει το marketing, αλλά απαιτείται υπεύθυνη εφαρμογή για να αποδώσει αξία, διατηρώντας την εμπιστοσύνη του πελάτη και το brand voice.

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Low-code machine learning platforms for e-commerce decisions by TWO DOTS

The best low-code machine learning platforms in 2026

Machine Learning is no longer just for large enterprises. With the shift to low-code and no-code platforms, marketing, operations and e-commerce teams can create and leverage predictive models with less technical complexity. This shift enables better demand forecasting, smarter customer segmentation and personalized product recommendations, enhancing learning speed and reducing uncertainty in decisions.

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A team of professionals are working on AI shopping technology, introducing the TWO DOTS brand as part of Google AI Mode shopping.

Google introduces information agents and universal shopping cart

Google's AI shopping is transforming e-commerce by allowing consumers to discover, compare and buy products with the help of AI agents. These agents act as intermediaries, synthesizing data from product feeds, reviews and structured data to offer personalized recommendations. E-commerce businesses need to organize their data, improve SEO and checkout to stay competitive. AI shopping requires an integrated strategy that combines SEO, marketing and conversion optimization.

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A group of professionals discuss AI models in the TWO DOTS office, highlighting the application of large language models in business.

Small versus large language models: which is the better choice?;

The AI model market is now looking at using small language models (SLM) instead of large language models (LLM), seeking better cost and control. Especially in e-commerce, choosing the right model can improve customer support, personalization and automation. The right strategy involves a combination of SLM, LLM and human intervention, allowing efficient use of AI. Success does not depend on the size of the model, but on the ability to integrate it into business processes.

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