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Retail Solutions

In the World of driven online engagements, hustling for targeted generation of sales and accomplishment of Goals, “retail sector” has become a complex subject to explain. Indeed, Retail is quite equivalent to an “atom!” whenever you cut-open the subject “retail” there is Management, brand maintenance, Intelligence, execution optimization and other matters of concern inside. With Loginworks Softwares, all these Retail concerns are resolvable via Retail Solutions.

Retail Estates are impossible to acknowledge in the absence of Big Data Analysis. You never know when a new trend in the market can hit back your wholesale or retail Business with excessive Loss and down sliding graphs. Loginworks Softwares Retail Solutions assist its clientele from recovering with such situations prior to any intangible Harm on its Business via consistent retail Big data analytics.

What do we do?

Corporate Identity Compliance Analysis
Pre-installation Store Surveys
Legal POS Compliance Analysis
Print and POS Requirements
GAP Analysis
Promotional Space Assessment and Opportunities
NPD Executions

Loginworks Softwares is a team of Retail Big Data Analytics skilled professionals taking hold of retail estate’s Data that grants its clientele with translucent retail business insights for multi-purposes to benefit the Business in the times to come. Not only does our skilled team of professionals hustle to progress analysis, but also claims brand empowerment, and deliverability of Display investment ROI at maximum level.

Loginworks Softwares considers studying one’s retail business before execution of any sudden Retail Big Data Approach. Our exceptional approach helps in granting indirect benefits to the Retail Business comprising in—

  • Exact MI
  • Benchmarking
  • Generation of Sales
  • Absolute Decision making
  • Customer Trend Forecasting
  • Fill Distribution Gap on-time
  • Known-how to Product In-Demand
  • Brand Promotion to apt audience via mobility
  • Sales performance via retailer Portfolio
  • POS Displays, Equipment Ordering, and Stock Control improved Efficiency
  • Campaign progression & effective initiations and offerings via cross-channel resemblance

Loginworks Softwares lend unique Retail Solutions irrespective of industries. Since ever establishment, we have supported Retail Businesses revolving around Fashion, Luxury, convenience, Station, Hardware, and Pharmacy. For receiving Retail Excellence, connect with us today!

Brands Benefiting from Big Data and Analytics

Who does need Introduction to Flipkart? Undoubtedly, it is one of the leading Online Retail Businesses based in Bangalore, India founded in 2007. At first the company was focusing on the distribution of Books, on the contrary, later invested in categories of the product comprising in electronics, fashion, and lifestyle products. As per the recent statics, Flipkart has concluded to hold approx 40 percent of Market share in the context of India’s Retail Industry. Also, it has held 100 million customers with the outstanding shopping experience at Global level. 

Indeed, at the very stage of expansion, Flipkart considered “behavioural gender” as one of the actions against the Big Data Analytics and the customer insights granted by the same. For instance, Flipkart has given an option to the users to choose its gender while looking for specific product Online. This “behavioural gender” is basically an automated methodology which works as per the behaviour of the user while shopping at Flipkart App. 

Otherwise, the heads of Flipkart stated: “behaviour gender is only one of the aspects of customer insights; other aspects include demographics and other activities of users on the app to recommend the right product to the customer.” 

In noteworthy of mentioning, Flipkart take advantage of Big Data Analytics at completely another level. It holds its exceptional Data centre holding 5 Petabytes and 120 in RAM and Disk storage respectively (1 Petabyte Equivalent to HD Video memory of duration 3.4 years—round-o-clock). 

The used Big Data approach has assisted Flipkart in enhancing Customer satisfaction by 3 times in the past few years. Alongside, Discount wars aroused as a strategy used by both Amazon and Flipkart has assisted Flipkart in maintaining surplus shoulder-to-shoulder to Amazon (US$4Billion in 2016), however, much higher than Amazon currently in 2018—US$22Billion worth.

Amazon is another leading American E-commerce Platform that has shelled the India Retail Industry by 12 percent merchandise value in the year 2015. Since ever establishment, Amazon has categorised its products & services into distinctive sorts, some of those are Amazon fresh, Amazon Prime, Kindle, Echo, Amazon Drive, Amazon studios, Fire TV, Amazon Web Services and so on! Alongside, it takes hold of 40 subsidiaries around the World. As per statics of 2008 and later, Amazon comes across attracting approx 615 million visitors at the Global level. 

In noteworthy of mentioning, Amazon considers practicing Big Data Analytics for the sole purpose of making the right recommendation for the customers. In the force of being “Everything Store,” Amazon at the very stage had been lacking the rich-customer insights and further, losing customers at drop off. To recover from this issue, Amazon started to gather Customer Data upon browsing on the Amazon webpage in order to empower its product & service recommendation engine. 

Shockingly, this customer data involves customer’s location or shipping address (to figure out income level), product search, and buying history, product searching history, uploaded reviews and feedbacks. Through the collection of Data, Amazon comes across predicting upon the factors akin to customer’s age, customers’ occupation, and customers’ lifestyle. Hence, make recommendations accordingly. Undoubtedly, the 360-degree development of Amazon recommendation engine was quite impractical in the absence of Big Data approach. 

Today, Amazon takes into recording customers’ data as per the behaviour of customer on-site. Currently, Amazon is enjoying 30 percent of India’s market Shareholding worth $16 Billion.

Paytm Mall is one of the greatest instances of Brands benefiting from Big Data Analytics in only a year. The accomplishment of Paytm Mall Application by Paytm wasn’t even quick but appreciable. Paytm, Noida based firm founded in 2010 accomplished investors akin to Softbank and Alibaba Group (Chinese Giant E-commerce Platform) who invested approx $445 millions in Paytm Mall. 

Seeking the Logistics Start-ups lacking tech capabilities, Paytm has planned to invest $150 Million in Logistics Data companies for the sole purpose of making the delivery aspect of Paytm mall courier associations’ service efficient at the highest level along with real-time tracking options. This action of Paytm has come from the Big Data Analytics performed that showcased insights comprising in Distribution network Gap, barriers in Supply chain and inventory mismanagement. 

Through the utilizable Logistics insights, Paytm make the respective investment final in the year 2015 and today, Paytm Mall holds 1.4 Lakh registered sellers and has been holding 5.6 percent of India’s Market share in the context of Retail Industry since 2017.

Promotion Planning

Big Data Analysis or Predictive Analytics drives Promotion Planning to an effectual path via targeting the right audience, making apt & prior offers to existing customers, scoring and ranking promotions through decomposition, and relevance improvisation via customized customer Big Data.

Price Optimization

Big Data analyzing product separately, progressing Customer segmentation, by understanding customer behaviour on prior events & trends, retail companies come across the optimized prices for its products & services.

Inventory Optimization

Big Data Analytics assist in maintaining an equilibrium concerning Product in needful, stock investment capabilities and cost conduction for Retail Business to seek expansion in the long-run.

New Product Introduction

Tracking new products in the market & stores, the arena where the new product is in demand, and the introduction of new product online helps in the expansion of the firm.

New Product distribution

Predictive Analytics based on recent customers’ searching history and other customer insights assist in identifying the product-in-demand and investment in new product and its distribution as per the forecast sales.

Our Mission

provider of unique IT solutions

To provide top-notch web-based applications and business intelligence solutions while consistently exceeding our clients’ expectations.We believe in delivering value and that too ‘On Time’ to build a strong relation based on its performance so that the name Loginworks become synonymous with the “provider of unique IT solutions”.

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