AI makes product management deliverables faster to produce, but sound decisions still depend on context, customer understanding and critical thinking. Examples from user research and data analysis show where AI helps, where it misses essential information and why product managers remain responsible for the conclusions.
Read the pieceAI features introduce ongoing usage costs that can weaken margins even as adoption grows. This article examines the monetisation challenge and explains why product managers need to connect customer value, pricing, metering and financial modelling.
AI is changing how SaaS products are used, valued and monetised, but cheaper coding does not replace the knowledge and workflows they provide. This article explores why APIs, private data and solving customer problems will shape the next generation of SaaS.
Allegro Ceny needed to expand campaign participation without a proportional increase in manual work. A focused MVP replaced offer-by-offer setup with prepared recommendations and bulk review, enabling greater scale while keeping sellers in control of commercial decisions.
Allegro’s Featured Offers product needed a new monetisation model and technical platform while protecting a critical revenue stream. Customer research, flexible pricing and a controlled migration of more than 130 million offers enabled further monetisation changes while reducing oversaturation.
Allegro needed to replace legacy seller subscriptions while protecting recurring revenue. Customer research informed a three-tier model that retained existing revenue, opened a premium monetisation path and made future packaging changes easier to deliver.
