TCG Digital’s industry footprint
There are several industries where we merge Big Data & Analytics with domain specialization. In so doing we provide you with tailored offerings and solutions.
Our solutions incorporate market insights, along with advanced digital technologies, to develop products and services that better address client needs.
Retail & Consumer Goods
Overview
The retail and consumer goods industry is fiercely competitive and dynamic, with changing demographic profiles, changing levels of disposable income, ever-evolving customer preferences and continuous digital innovation. Companies need to constantly evolve and transform, to meet new challenges and remain competitive. That is where we come in!
At TCG Digital, we combine our expertise in the retail and consumer goods, with data analytics and digital transformation to offer both turnkey and custom solutions across the value chain to suit your organizational needs. Our services and solutions will help you adapt to an ever-evolving industry scenario and drive strategies to differentiate with your competitors.
Our Numbers Speak Volumes
Increase in Revenue
0
%
Increase in Profitability
0
%
Reduction in Customer Churn
0
%
Why TCG Digital
TCG Digital comes with deep domain expertise and experience in retail and consumer goods along with a strong foundation in technology and data science skills. Our focus on hyper-contemporary technologies such as AI/ML, Blockchain, Cloud, Mobility, RPA, IoT and Cybersecurity help us deliver comprehensive solutions to our customers, leveraging flexible delivery models suited for various needs. We offer analytics and digital services to our clients, leveraging a rich library of pre-built accelerators on our end-to-end proprietary analytics platform—tcg mcube that expedites the velocity to value for our customers.
Our Capabilities
Our capabilities and expertise go beyond managing data to unleashing its full potential.
Our Success Stories
Demand forecasting and inventory planning for a top retailer
A top retailer wanted to reduce the inventory holding costs by leveraging improved demand forecasts and planning. The goal was to develop a tool to forecast future demand with minimal human interventions that would feed back into the system to help generate purchase orders (with store-wise allocations) based on demand projected and ordering frequency of the vendors.
Price optimization for a top multi-category retailer
A top retailer wanted to identify opportunities to increase profitability across categories without any adverse impact on revenue. The goal was to develop a recommendation engine to suggest optimal price points for each SKU factoring in demand price elasticity relationships, vendor side constraints, macro-economic conditions, competitor pricing, etc.
Churn reduction for a top multi-category retailer
A top retailer wanted to improve churn rates by leveraging data science driven insights. The goal was to understand each customer by creating behavioural cohorts and drive personalized campaign strategies to reduce churn. .
Wallet share increase for a top multi-category retailer
A top retailer wanted to increase revenue from existing customer base by capturing an increased share-of-wallet from such customers. The goal was to understand each customer by creating behavioural cohorts and drive personalized campaign strategies for cross-sell and up-sell.
In-house brand sale increase for a top multi-category retailer
A top retailer wanted to increase sales for in-house brands as these brands drove higher profitability for the retailer. The goal was to understand each customer by creating behavioural cohorts and assess the propensity of each customer in a cohort to buy in-house brands.
Topic classification and sentiment analysis for a top retailer
A top retailer wanted to understand its customer sentiments to improve customer perceptions and drive differentiation strategies in the market. The goal was to drive brand strategies leveraging insights from social media analytics.
Trade scheme effectiveness analysis for a top CPG company
A leading white goods company wanted a solution to assess the effectiveness of various trade schemes given to dealers and distributors with the overall aim of scheme rationalization and ROI maximization.
Driving supply chain efficiencies by optimal spares stocking for a top white goods manufacturer
A leading white goods company wanted to drive efficiencies in the supply chain and recommend optimal spares stocking at the central repository, branches, and service franchises. The aim was to reduce holding costs without stock-outs or deterioration in service levels.
-
Demand forecasting and inventory planning for a top retailer
-
Price optimization for a top multi-category retailer
-
Churn reduction for a top multi-category retailer
-
Wallet share increase for a top multi-category retailer
-
In-house brand sale increase for a top multi-category retailer
-
Topic classification and sentiment analysis for a top retailer
-
Trade scheme effectiveness analysis for a top CPG company
-
Driving supply chain efficiencies by optimal spares stocking for a top white goods manufacturer