Retail Supply Chain and Marketing Analytics – Connecting the Dots, Driving Growth

May 12, 2017

data analytics

The one industry that is highly unpredictable and prone to disruption is retail. Proponents of this sector strive to wade through intense competition, high customer expectations, manage multiple channels, and a wide array of product offerings among several other challenges to create a competitive advantage and maintain their market position. To stay abreast of competition and latest trends, retailers must devise strategies based on insights and analytics to understand the business and anticipate customer behavior.

Analytics collects data from various channels used for marketing and combines it to provide a common direction that helps to extract analytical results which deliver actionable insights to drive the firm’s marketing efforts to the fore. It comprises of technologies and processes that assist marketers in ascertaining the success of their marketing efforts, by measuring performance through ROI and effectiveness.

We offer tailored analytics solutions to support the unique business needs of clients from various sectors. Speak to an expert to find out how we can help you tackle your challenges.

Making Inroads into Retail Supply Chain

Advanced marketing strategies and analytics such as customer analytics can help tone down the anxiety in a significant business area like retail supply chains. Insights derived from historical as well as real-time data can help retailers understand customer behavior and segment them accordingly.

The adage “Customer is the King” is gaining importance in today’s competitive market environment. Increasingly, retailers are tailoring messages and creating a customized experience for the customers, to which the latter are responding in a favorable manner. Personalized marketing encompasses more than just mentioning a customer’s name in an email, for example, personalized follow-ups and insights derived from previous purchases and point-of-sale terminals can help build customer loyalty. Additionally, firms can use customer data to device practice scalable pricing and understand customer expectations in order to maximize retail ROI. Pricing analytics go hand in hand with personalized marketing so as to create happy consumers and build loyalty.

Request a free brochure of our supply chain analytics solutions to know more about its benefits.

The sole purpose of analytics and big data is risk management – to foresee and mitigate possible risks, thereby creating significant savings in retail supply chain. With the help of data- external and internal- firms can develop strategies based on insights that help in supplier management, assessing store performance and effectiveness of marketing campaigns and marketing channels.

The Quantzig Approach

We, at Quantzig, track the latest developments and innovations in the industry through different sources and methodology, reach out to key stakeholders and marketing experts in order to understand the market scenario. We help clients understand and identify fluctuations in consumer interests and devise insights based marketing tactics and strategies to stay ahead of the competition.

Ready to Harness Game-Changing Insights?

Request a free solution pilot to know how we can help you derive intelligent, actionable insights from complex, unstructured data with minimum effort to drive competitive readiness, market excellence, and success.

Recent Blogs

Supply Chain Analytics and its Importance for Businesses

Supply Chain Analytics and its Importance for Businesses

Supply chains generate massive amounts of structured and unstructured data, which, when used efficiently, can enable organizations to gain intelligent, actionable insights. Traditional supply chains, that do not make use of data analytics are siloed and slow-moving,...

read more
Four Metrics in the Telecom Industry to Make Smart Decisions

Four Metrics in the Telecom Industry to Make Smart Decisions

What you can expect from the Telecom Analytics Metrics Article IntroductionTelecom Analytics Metrics Highlights of the Telecom Analytics Metrics Article S NoTelecom Analytics Metrics1.Average Revenue Per User (ARPU)2.Minutes of Usage (MOU)3.Churn Rate4.Subscriber...

read more


Our advanced analytics expertise spans across industries, sectors, and functions, which enables us to deliver robust, agile solutions to all our clients. These are our core competencies, formed through years of experience.


Our free resources shed light on our extensive expertise and equip you with information to accelerate decision-making, growth, and innovation.

Talk to us
Talk to us