Short Description

In the dynamic world of digital marketing and retail, DigitalSpark™, an innovative product by Softech, is setting new standards and revolutionizing the game, creating profound impacts on how companies make decisions and generate value. Through sophisticated analytical tools and adaptive mechanisms, this service opens doors to unprecedented opportunities in personalizing customer experiences and optimizing sales strategies.

City: Beograd
Website: https://softech.es/
Sector: Information Technology
Activity: Software application development

Company Portrait

Founded in 2016 in Belgrade, Softech epitomizes enduring success in the dynamic world of digital transformation. In just under five years, the company has grown and earned the trust of many, establishing itself as a competitive player in the information technology sector. Its organizational structure is clearly divided, with a management team coordinating the work of various sectors, including sales and administration, finance, and technical experts.

From its range of services, it’s evident that Softech is capable of meeting a wide spectrum of needs. This offering includes the development of custom software solutions, mobile applications, as well as various consulting and intellectual services in the IT industry. Additionally, the company provides tools that can help enhance various aspects of business operations.

Despite its relatively small size, Softech stands out for its high level of professionalism and expertise. The company’s team is competent and well-coordinated, enabling a quick and efficient response to market changes. The company is organized to easily adapt to different market conditions, further reinforcing its robustness.

Softech focuses on the diversity of its offerings, striving for stability and sustainability in a dynamic environment. Considering collaborations with various market players, the company is able to adapt and remain resilient under various circumstances.

Their philosophy is centered on simplifying business processes and optimizing sales flows, thereby creating additional value for clients from different sectors.

Structured in this way, Softech is positioned to continue its path of success, focusing on adaptability and innovation in its further development.

Requirements

Softech is well-positioned in the industry with its own brands and services, with a special emphasis on developing and enhancing its innovative brand, DigitalSpark™. This platform operates as a sophisticated B2B SaaS (Software As A Service) model, providing a bridge between manufacturers, distributors, and retail chain employees. Through gamification, it rewards the initiative and performance of individual salespeople, overcoming the communication gap that traditionally existed between key players in the retail ecosystem.

Despite its innovativeness, the platform does not fully utilize the potential of the vast data it collects. While it generates valuable data that can offer insights into brand performances, locations, and salespersons, this data remains untapped for deeper analytical purposes, such as predictions and optimizations of sales campaigns.

This oversight represents a significant untapped asset for the company, which, if properly engaged, could significantly impact sales results and the strategic positioning of DigitalSpark™ in the market. The platform is modularly constructed and includes a wide range of functionalities, from sales initiatives to educational modules and analytics. However, the possibilities for enhancement are evident, especially in the context of integration with advanced analytics and machine learning tools. Currently, DigitalSpark™’s focus is on the link between the brand and sellers, while expansion could include the entire sales chain up to the end consumer. This would allow for much richer and deeper insights, which could further be enhanced by using artificial intelligence for data analysis and interpretation.

In conclusion, while Softech, with DigitalSpark™, already possesses a powerful platform used in 11 European countries with more than 105,000 active sellers across various industries, there is a clearly visible room for improvement. Implementing artificial intelligence algorithms for data analysis, expanding the scope of access to the entire sales chain, and focusing on managing clients’ business operations could make DigitalSpark™ not just a tool for boosting sales but also for strategic business decision-making.

AI Solution

The implementation project for DigitalSpark™ with its associated artificial intelligence acts as a timely and strategic initiative. Beyond enhancing the functionality of the core product, it opens numerous new avenues for innovation and strategic positioning of the company.

One of the project’s key aspects is how machine learning and artificial intelligence algorithms are integrated, accessing a much larger and more complex set of data than before. The approaches used allow modeling not just the obvious factors but also the latent ones affecting sales and purchasing. This provides a dynamic and highly personalized way to optimize marketing, adjust pricing, and manage inventory.

Additionally, the capability to analyze fiscal receipts via QR code marks a significant advancement in real-time data collection and analysis. This feature accelerates the data processing procedure and offers multiple benefits, from demographic information to user behavior and location preferences.

This technological upgrade also holds great potential for distributors who previously relied on less precise and much slower methods of analysis. Now, they will have at their disposal a much more accurate and comprehensive set of tools. The ability to analyze and optimize sales efforts for multiple brands simultaneously not only increases efficiency but can also serve as an additional service they can offer their clients.

Adding AI and machine learning to the DigitalSpark™ platform transforms this product into a comprehensive ecosystem capable of changing the way companies understand and apply their sales and marketing strategies.

With this implementation project, DigitalSpark™ enhances its value to existing clients and opens doors to new markets and applications that were previously impossible. “Through the system of generated recommendations, companies, our SaaS solution users, gain the ability to achieve much better sales results while simultaneously allocating budget and investments where needed,” says Ognjen Lukić, the founder of the company. He adds that the support program for digital transformation is significant not only financially but also through the expertise of CDT consultants in developing such solutions and processing large amounts of data.

Measuring Success

The CDT consultant on this project, who led the entire process, highlights the significance of this program for the complete transformation of the company from a relatively small story limited to Serbia and sporadic business in the region, into a company that revolutionizes the perception of retail: “Softech Solutions is an example of a start-up company with a clear vision, excellent market positioning strategy, a great instinct for retail needs, and the capacity to deliver it all in the form of a unique software solution they developed themselves. Recognized naturally and strategically by the company’s management was the need to further analyze all data collected from monitoring relevant parameters of retail operations, to provide system users with a new perspective in sales planning and better customer targeting. By implementing artificial intelligence modules, users of this solution have significantly improved their sales results, and Digital Spark™ gained dozens of new users, especially significant in EU countries. All this happened in less than 6 months from the project’s completion and full implementation – practically reflecting the importance of this program to further support innovative companies in Serbia to prepare for the global market competition and in this way present not only themselves but the entire ecosystem of innovation and artificial intelligence that is significantly expanding in Serbia.”

Concluding Considerations

The implementation of the DigitalSpark™ service has dramatically transformed the landscape of digital marketing and data analytics. Firstly, the service enabled brands, manufacturers, and distributors in retail to expand their data collection domain. Understanding of end consumers now extends beyond basic demographic data and consumption histories to create a sophisticated knowledge base. This database is utilized for customer profiling, crafting highly targeted marketing campaigns, enhancing sales, and strengthening brand reputation.

Simultaneously, in-depth data analysis has allowed for further alignment and fine-tuning of parameters and metadata. A new level of precision in measurement has been added, while dynamic weighting factors have introduced additional adaptability. This is particularly beneficial for the various categories involved in the ecosystem, such as brands, retail chains, and individual sellers. The optimized analytical structure effectively reduces the risk of incorrect business decisions, which is critical in a competitive environment.

Ultimately, artificial intelligence and machine learning tools have been successfully integrated into the data analysis and presentation process. This integration has not only enabled the automatic extraction of new insights but also created sophisticated consumer profiles. These new insights now enable clients to proactively optimize their sales strategies, elevating their performance to a new level.

In essence, the DigitalSpark™ service has transcended its initial framework as an implemented project and become an integral part of the digital marketing ecosystem, adding layers of value for all stakeholders.

The company states that it will continue the continuous development of this software solution and that the smart solution Digital Spark™, which utilizes machine learning models and artificial intelligence, developed with the support of the Digital Transformation Center, is just the beginning. The true effects realized through this program will be seen when the artificial intelligence algorithms complete their training process and reach the peak of their predictive capabilities 12 months from the implementation moment.