W2S Solutions 
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Outperform with technology 
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W2X LABS 
Contact us
Contact us
W2S Solutions -----
Outperform with technology -----
W2X LABS
India
Electronic/Retail
Data infused business model & Visualization system
Power BI, MS SQL Server, ETL, Azure Synapse, Azure Cloud
6 Engineers
28 Weeks
Changing the retail scene in the market, our client is a renowned electronics retailer with multiple branches and hubs across the country. Known for providing excellent in-shop experience and flexible financing options among their consumers, our client has a vast base of loyal brand advocates. Right from basic to flagship electronics, their inventory is stocked with fast-moving products across different categories.
With multiple branches and storage units, our client faced problems with efficient resource accumulation. So, our client needed a central data system that could monitor the footprints of different electronics products across various regions.
Identifying the categories of the products is tedious as there are a vast number of products in the inventory.
To monitor the movement of the products, they need to be tagged and numbered in a solid, fool-proof manner including RFID tags.
The success of the product's sales depends heavily on the region and the social & economic capabilities of the people in that region.
If the data system is too complex, employees wouldn't be motivated to use the system.
Data Analytics
Mobile Application Development
Enterprise SolutionsWe collected data from various dimensions for the following factors. These data are then analyzed for efficient resource handling.
The odds of a particular product being sold depend on the people's purchasing power in that region. Our system collects data from various sources and adjusts the product placement accordingly.
The price of a product is an important factor when it comes to being sold. Apart from analyzing the market prices of the product, our system also correlates the data from other existing factors to find the products that fit in the desired price range.
The location of the branch influences the sales of a product along with the other factors. Understanding the location allowed us to get in touch with the social and cultural aspects of the potential customers in that area.
Our data system gives extra weightage to this factor as this one is by far the most influential. People within the proximity of the location are potential customers of the store, and understanding this can effectively transform the retail experience.
Understanding all the above factors can help the client to run targeted promotions and increase sales in a particular branch.
We handpicked the team members that are best suited for the project. Also, their ability to understand different contexts and problem-solving complemented their proficiency in tools and technologies that were necessary for the project.
2Data Analyst
1Cloud Architect
1Quality Analyst
2Backend Developer
1Projects Manager
1Front End Developer
The sales across the weakly-performing branches shot up by 300% and registered positive customer experience.
Our analytics system helped the client identify the star performers in individual branches and across all their outlets. Incentivizing the employees also motivated them and increased their productivity by 60%.
The master data allows the client to monitor the overall product flow. Seasonal sales, annual sales, demand spike, etc., could be easily tackled as the system allowed for a better understanding of the supply chain.
Frequently Asked Questions
Surveys, sign-up forms, website or app tracking, loyalty programmes, third-party data sources, email marketing, and search engine data can all be used to collect customer data.
Retail data analytics improves business management by assisting leaders in assessing the effectiveness of current workflows, analyzing process outcomes, automating new workflows, and refining them over time. Data also enables leaders to determine whether processes are burdensome, draining the budget, or difficult to use.
The key metrics in the retail analysis industry is:
Data analytics assists retail companies in understanding their customers' purchasing needs and focusing on areas of high demand. The data-driven conclusion assists businesses in forecasting demand and managing inventory accordingly. Accordingly, retail analytics companies specialize in gathering, analyzing, and interpreting retail-related data. They provide valuable insights to their clients by utilizing a variety of tools and techniques such as data mining, machine learning, and predictive analytics.
Retail analytics is a process that collects and analyzes data on products, sales, inventory, pricing, and other factors in order to identify trends and patterns, predict outcomes, and make informed decisions. In addition to the technologies, retail analytics software and retail business intelligence tools also play a critical role in leveraging data to achieve multi-contextual metrics for a retail electronics company. By using retail predictive analytics, we can create customized dashboards and reports that provide our client with a comprehensive view of their business performance.
By leveraging data analytics in the retail industry, we can gain a comprehensive understanding of the customer journey, from initial awareness to purchase, and beyond. These retail business intelligence metrics include customer satisfaction levels, product performance, inventory levels, and sales trends, among others.
The Retail 5P Dashboard is a retail analytics software that uses advanced retail industry technologies such as Power BI, SQL Server, and Azure, to collect and process data from various sources, including sales transactions, customer feedback, social media channels, and inventory levels.
The use of big data in the retail industry has revolutionized the way retailers conduct business. Big data refers to the massive amounts of structured and unstructured data that are generated every day from various sources such as customer transactions, social media, website clicks, and inventory levels.
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