Retail

STARCOM: India's first Listed Visual Analytics company

  • Point of Sale Data Management
  • Optimizing Last Mile Delivery Processes
  • Customer Data Management
  • Revenue and Sales Analysis
  • Customer Analysis
  • Promotion Analysis

Point of Sale Data Management

Point of Sale Data Management

In the retail industry, data quality is at the heart of what both troubles and brings life to the business. 3.5 billion GB of data were generated every day in 2016 and that volume is expected to double every two years until 2020. But what happens when the quality of that data is compromised due to human error, technological error or what have you?

Data is the linchpin for many kinds of operationally critical activities (billing, tax collection, shipping, etc.) as well as revenue-generating activities (loyalty programs, lead generation, personalized marketing, etc.).

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Optimizing Last Mile Delivery Processes

Optimizing Last Mile Delivery Processes

Logistics is generally the detailed organization and implementation of a complex operation. In a general business sense, logistics is the management of the flow of things between the point of origin and the point of consumption in order to meet requirements of customers or corporations. The resources managed in logistics can include physical items, such as food, materials, animals, equipment and liquids, as well as abstract items, such as time and information. The logistics of physical items usually involves the integration of information flow, material handling, production, packaging, inventory, transportation, warehousing and often security.

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Customer Data Management

Customer Data Management

Today, Retail companies engage with customers across multiple channels from different branches and telephone support through to online services and new mobile applications. These channels have to support a wide range of products. This result in a large number of customer information that is often stored in isolated data silos due to scaling limitations imposed by existing IT infrastructures.

The challenge here is not that Retailer’s don’t have this data – indeed, many Retailers have been building data lakes for years. Instead, it is difficult for them to get this data into a useful form that can be used at the “point of customer value.”

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Revenue and Sales Analysis

By leveraging the insights provided by business intelligence software, marketing and sales teams can improve the accuracy of their forecasts by accommodating for seasonal demand, product promotions, etc. Improve opportunity conversion and ultimately business by using StarBI.

Customer Analysis

Large marketing organizations often use consultants or have dedicated in-house experts who mainly focus on assisting the marketers to plan and optimize their programs for Customer Analysis. With StarBI, you can optimize customer buying behaviour, there purchasing pattern, etc. StarBI helps retail business owners to take smart and quick decisions which can fulfil customers, market and business needs.

Promotion Analysis

StarBI Promotional Analysis dashboard shows you not only what happened, but also what you should do to jump-start further growth. Our Self-service BI tool can empower your Sales and Marketing team with all the data insights they need to make the right data-driven decisions.