SPLENTA
A leading bank aimed to improve customer satisfaction and operational efficiency in a highly competitive sector.
The bank faced challenges with slow service delivery, outdated systems, and lack of personalized customer engagement.
By implementing AI-driven chatbots, mobile apps, and automating customer onboarding, the bank streamlined operations and enhanced client interaction.
Customer satisfaction increased by 25%, and service turnaround times were reduced by 40%.
A global retail chain sought to create a seamless shopping experience across physical and digital channels.
Inventory mismatches, lack of personalization, and siloed operations hindered sales and customer loyalty.
The company adopted an omnichannel strategy integrating AI-driven e-commerce platforms with physical stores, enabling real-time inventory updates and personalized recommendations.
Online sales increased by 50%, and customer engagement across channels improved significantly within a year.
A fintech company aimed to empower clients with actionable insights for better investment strategies.
Clients lacked real-time data and predictive tools, leading to suboptimal decision-making and missed opportunities.
Leveraging big data and predictive analytics, the company developed a dashboard offering real-time insights, trend forecasts, and risk analysis for clients.
Portfolio performance improved by 30%, and risk management practices were significantly enhanced.