The centralization and automation of transactions, accounting and financial processes not only improve efficiency but also ensure consistency across channels, reducing friction and optimizing the customer experience. Non-compliance leads to penalties and loss of trust from customers and investors, especially in public companies. The importance of effectively integrating these solutions to drive sustainable growth and generate real economic impact is emphasized.
Compared to 2024, there has been a significant increase in the adoption of these technologies, with percentages of 65 percent and 75 percent respectively. However, managing in-store payments, online purchases, and loyalty programs generates a huge amount of data that requires precise real-time reconciliations to ensure financial clarity, detect fraud, and minimize execution errors.
Software as a Service (SaaS) that incorporates artificial intelligence by default has become essential in this new environment. The available tools enable the automation of complex reconciliations, improving the traceability of transactions and strengthening risk prevention, which leads to cost reduction and elimination of manual tasks.
Artificial intelligence and machine learning are transforming processes in consumer pattern detection and audit automation, allowing financial experts to anticipate risks and provide more personalized services to clients. The combination of automation and strategic human oversight is key to ensuring certainty, security, and visibility in every transaction.
In today's retail sector, having reliable real-time information is a competitive advantage. The ability to access up-to-the-minute reliable financial data is crucial. Similarly, the efficient integration of artificial intelligence poses the challenge of recognizing the real benefits it can bring to the business, considering the omnichannel experience demands from consumers.
The retail industry is expected to experience significant growth according to Mordor Intelligence, with a projected compound annual growth rate of 7.65% until 2030. Generative artificial intelligence is seen as a game-changing factor by a wide majority of retail and consumer goods companies, as it is transforming operational efficiency, personalizing customer experiences, and optimizing decision-making. Moreover, these technological solutions offer advantages such as scalability, accessibility from anywhere, and reduced investment in infrastructure.
