Industries

Retail

The retail landscape is transforming rapidly as shoppers expect seamless experiences, competitive pricing, and consistent availability across channels. Retailers must respond with speed, intelligence, and precision to stay ahead.

What we offer

Benori partners with retail organizations to decode shopper behavior, optimize assortments, strengthen pricing and promotions, and improve operational efficiency. Our teams deliver actionable market intelligence, advanced analytics, and deep retail insights that enable faster decisions, stronger margins, and sustainable growth.

Market, Category & Channel Intelligence

Consumer, Shopper, & Brand Insights

Competitive & Portfolio Strategy Intelligence

Innovation & Pricing Intelligence

Location Analysis

Data Management, Analytics, & Automation

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Impact Stories

Discover examples of how Benori’s insights and expertise create measurable value

Predicting and Preventing Customer Churn through Machine Learning Analytics

Objective and Scope:

The client, an e-commerce retailer, sought to develop a predictive analytics framework to identify customers at high risk of churn. The engagement aimed to support strategic decision-making through: Identify at-risk customer segments using machine learning models to predict churn likelihood across customer cohorts, with focus on behavioral patterns and engagement metrics Quantify churn drivers and patterns across customer acquisition channels, subscription plans, feature adoption, and support interactions to enable targeted intervention strategies

Approach:

Benori combined automated data extraction from CRM systems and transaction logs with advanced machine learning to identify and rank churn predictors. Custom Python scripts were developed to aggregate customer behavioral signals (usage frequency, support interactions, payment delays) and engineer predictive features. Leveraging gradient boosting and ensemble modeling techniques, Benori trained multiple models to classify churn probability, cross-validated results with business rules, and created a structured dataset ready for real-time churn scoring and dashboard deployment.

Impact:

The study enabled the client to: Achieve early churn detection by assigning propensity scores to every active customer, enabling the commercial team to prioritize at-risk accounts for targeted retention campaigns Enable data-driven retention strategies through identification of key behavioral signals and root cause analysis, allowing to proactively address pain points

Conducting a Product Mix Study for a Multinational Retail Company

Objective & Scope

The client, a leading multinational retail company that operates wholesale stores in India, wanted to review its product mix/assortment in select categories at a regional level with the objective of providing the right products at the right price to customers. For this, it sought Benori's support in conducting a comprehensive analysis: To understand the top-selling products and price points across market segments Regional and seasonal variations in demand Contribution of products to the overall sale

Approach

We collected data through primary interviews with B2B customers across segments such as Hotels, Restaurants, Caterers (HORECA), Offices & Institutions (O&I), distributors, and resellers. The data was collected from the five cities across the north, west, and south of India. We conducted an in-depth analysis of the regions and segments based on parameters such as product price points, preferred buying sources, and willingness to buy from cash-and-carry stores. The analysis was augmented by the inclusion of competitors and offerings.

Impact

The insights enabled the client to understand the following: The right product mix as per the market dynamics The top-selling products across various categories like houseware, tableware, and paper goods, along with their best price points Top reasons for customers not buying from client stores

Identifying Innovative Digital Business Models in the Retail Industry

Objective & Scope

The client, a consulting firm, was supporting a government entity in assessing digital business models in the retail industry, for instance, dark stores, autonomous stores, and peer-to-peer (P2P)/peer-to-merchant (P2M) platforms. It sought Benori’s support to: Identify and benchmark various business models, along with their functional and deployment processes Evaluate the types of interventions and regulations (in the form of policies and initiatives) that the governments are planning and implementing in the retail space

Approach

We created an exhaustive list of distinct and innovative business models. Based on their tech advancement, ROI, and regional fit, 11 business models were shortlisted. These were profiled in detail, outlining their technologies, key players, implementation sub-sectors, case examples, potential business impact, and implementation considerations. Additionally, we captured the government interventions, including those adopted and in the pipeline, across a list of countries

Impact

The research helped the client in: Assessing the feasibility of these models for businesses and evaluating their potential impact upon implementation Delivering actionable insights to the end client by synthesizing data on how various countries have adopted these business models

Contact Us

Get in touch with us to explore how Benori can be your strategic partner.

Our Industry experts

Our leadership brings together 180+ years of combined experience, shaping Benori with deep expertise, strategic vision, and an unwavering commitment to excellence.

Anurag Mishra

Anurag Mishra

Director, India

Frequently Asked Questions

Our work speaks through results. From market entry strategies to competitive turnarounds, these stories showcase how our intelligence has powered real-world outcomes for global leaders.

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