Retail & Commerce.
Implement data-driven digital transformation in retail and commerce industry with accurate retail data analytics and AI-powered solutions.
Industry challenges
In this age of global technology revolution, the retail and commerce industry is undergoing a transformative shift as consumers seamlessly switch between online and offline shopping. The need for physical retail stores now is not only to focus on in-store personalization but also to provide a unified experience across omnichannel.
Given an unprecedented surge in data, interconnected devices, and customer-centric digital platforms, the key retail emphasis is on enhancing the omnichannel journey by dissecting historical retail data analytics through strategic marketing approaches and robust backend systems.
However, persisting challenges including outdated business models, isolated applications, and difficulties in adopting advanced technologies continue to be significant impediments for businesses to embrace this era of digital transformation.
Data-driven digital transformation in retail and commerce
End-to-end retail and commerce analytics solutions for higher omnichannel performance.
Retail Data Analytics
Analyze extensive retail data, enabling businesses to make informed decisions, enhance operations and customer experiences for business growth.
Customer Experience
Provide personalized recommendation and support, targeted marketing based on historical customer data and behavior recorded.
Retail Automation
Leverage AI across the entire retail operations: inventory management, pricing adjustments, and customer interactions to reduce manual tasks, enhancing accuracy and efficiency.
Demand Forecasting
Optimize your retail inventory, expenses, and stockouts with data-driven demand predictions based on sales data, market trends, and other external factors.
E-commerce Optimization
Utilize commerce analytics strategies and AI-powered tools to enhance the performance of your online store to enhance conversion rate and customer experience.
Returns and Refunds Optimization
By analyzing return patterns and customer feedback, you can optimize policies, reduce return rates, and enhance the overall customer experience.
Our industry-focused technology expertise
Deliver bespoke technologies that perfectly fit your retail and commerce business demands.
.webp)
.webp)
.webp)
.webp)
Our success stories
Contact us to request a quote
Let's lead the Core of Development Space.
Room 701, Geumgang Penterium IT Tower 171 Dangsan-ro, Yeongdeungpo-gu, Seoul
Frequently asked questions
Answers to commonly asked questions about digital transformation in retail and commerce and the way we work.
How can retail data analytics and AI contribute to digital transformation in retail and commerce?
Retail data analytics combined with AI uncovers valuable insights from customer behavior, purchase patterns, inventory management, and market trends. Data exploration empowers global retailers to make better data-driven decisions across the entire retail and commerce operations, from better targeted marketing campaign, customer personalized content, inventory level, and production management, etc.
What initial steps should I take to initiate their digital transformation in retail and commerce journey?
You can begin by conducting a comprehensive assessment of existing processes, identifying pain points, and setting clear transformation goals. After that, you should assess your IT team's ability and find an experienced data-driven digital transformation partner. They will consult and accompany your IT and business team in the journey of digital transformation for the highest performance, minimal risks and downtime. The following stages will be investing in relevant digital solutions, training employees, and continually refining strategies.
Can AI enhance supply chain management for retailers?
Yes, AI and effective commerce analytics can optimize your supply chain processes by analyzing various factors such as realtime tracking transportation routes, inventory levels, and demand patterns to improve efficiency and reduce costs.
What challenges might I face when implementing data analytics and AI?
Challenges might include data privacy concerns, integration with existing systems, finding skilled AI talent, and ensuring that AI models align with your business objectives. However, the DevCore team with AI and data analytics experts can help you address all of your obstacles with our technological and industry experience.
