Analytics Solutions for E-commerce Industry
Few other businesses have to compete in such a competitive market as e-commerce where many online stores fight for each sale with their counterparts who are only separated from each other by only a few clicks of a button at the hands of the consumer. Fierce competition results in too many challenges making e-commerce businesses more mindful and conscious about their every decision, initiative, and investment. Data-driven decision making gives the online retailers the advantage to back every decision with facts and move away from working on the gut feeling alone. However, for e-commerce businesses in Iran, data-driven decision making is also met with big challenges of having a proper data science team that can provide the right data, to the right people, at the right time throughout the entire organization. With Sokan’s analytics products, a new realm of possibilities is created for e-commerce managers who can now easily tap into the wealth of data their business has to offer and have it drive their marketing and category management decisions.
With Sokan’s data science solutions, a new realm of possibilities is created for E-commerce companies who can now tap into the wealth of information that their own database has to offer and drive their marketing, sales, and product-related decisions. That includes:
Greater Customer insights
Customer Analytics solutions to help marketers segment their customers based upon their historical purchase behavior, allowing marketers to create more effective campaigns and distinguish their ROI across the different groups of customers.
Faster Measurement of Business Success
KPI monitoring tools providing sophisticated but easy to understand data visualization tools, allowing business managers to gain quick data feedbacks on the performance of their tactics, helping them guide business with data-driven decisions.
Coming Data Science Solutions
A Product Roadmap consisting of various different data science solutions all intended to empower business managers with data-driven decision making including options for better smarter product assortment planning, more accurate demand forecasting, and much more.