Our Clients
Our Work
CRODA Europe Ltd
Established in 1925 and operating in 28 countries, Croda are the name behind high performance ingredients and technologies in some of the most successful brands in the world.
Project Harmony aims to deliver the Customer Centric strategy thus gaining detailed knowledge of customer’s behaviour within the target audience and then seeks to fulfill the customer’s needs and wants.
myHCM has been involved in delivering the Customer Centric Strategy through the SAP CRM platform and integrating with the backend ECC system for the Real Estate, Automobile and Retail business lines
As part of its Global Digital Transformation programme, Project Juno is transforming its Marketing, Sales and Service functions to better manage its customers with a global salesforce of over 2800 personnel across 28 countries. The platform is built on SAP C/4 HANA (SAP Marketing Cloud, SAP Sales Cloud and SAP Service Cloud) with a backend SAP ERP/HANA system and integrated Legacy Applications
myHCM has been involved in the implementation, data migration, release upgrades and analytics delivery for the SAP C/4 HANA platform for the 28 country Juno implementation and is currently engaged in delivering the global analytics platform.
Al Futtaim Group
Established in 1930 and operating in the GCC countries, the Al-Futtaim Group is a large conglomerate operating in the United Arab Emirates.
Churn Analysis
Today, a retailer needs to keep track of attrition in their customer base. Acquiring new customers is far more costlier than retaining existing customers. Customer Churn Analysis help organizations in identifying key factors driving churn and to design customer churn prevention and win back strategies to improve customer retention, loyalty and Lifetime value.
myHCM’s churn analysis technique varies across the industries, however, predominantly dependent on customer buying behaviour, customer engagement type and transaction history. Every industry and business has unique way of measuring customer engagement and hence we deploy our econometric model knowing the business model. We also keep evaluating and evolving our model over time to improve it on account of shift in customer behaviour and market dynamics.
Our churn analysis approach answers key questions like:
What are my key Churn drivers?
How many customers am I going to lose by next month?
How can I develop a customer win back strategy?
Marketing Mix Modeling
Through marketing mix modeling, we determine where and how much the retailers should spend in their marketing resources. Together with deep domain knowledge and deploying econometric models, we evaluate performance of your marketing mix. Our optimization techniques are flexible and are specific to the business challenge; hence it maximize sales and produces highest return for your marketing investments.
Our Marketing Mix Modeling will hep gain insight into Key Outcomes
Measuring Effectiveness – Determines which media vehicles are most effective at driving sales, profits, share and consumer segments
Understanding sensitivity – Understanding whether the macroeconomic, demographic, competitive, seasonal, weather and operational factors impact sales/shares
Return on Investment – ROI for each advertising and promotional campaign, including halo effects and cannibalization on related brands
Market Basket Analysis
Market Basket Analysis (MBA), also known as affinity analysis, is a data mining technique used to understand the purchase pattern of the shoppers.
This analysis unveils the hidden association between the products or the product groups –
Which items are tend to be purchased together
Which items are purchased in sequence
Which items are co-purchased in a season
myHCM Market Basket Analysis will allow you to explore cross-selling opportunities in the associated categories as well as up-selling opportunities within categories.
Our Market Basket Analysis solution can be leveraged to:
Understand Purchase behaviour
Develop cross promotional programs
Assortment planning
Planogram designing
Customer Segmentation
Every customer is different and so is their behaviour. Understanding the vast and diverse universe of the customer base requires segmenting them based on common characteristics and behavioural traits. These characteristics could be defined by the requirements, preferences, lifestyles or life stages.
myHCM Customer Segmentation techniques will allow you to understand the volume and variety of the customer base in minutes; discovering the differentiating traits among segments. With our customer segmentation approach, you would be equipped to answer:
How is each customer segment different to other?
Which customers are likely to churn?
Which set of customers have potential to spend more?
Which products or services entice which customer group?
How seasonality does affect the customer behaviour?
What’s the intersecting?
Pricing Optimization
High competition, consumer price sensitivity and pressure on margins are the key challenges that a retailer face everyday. Optimizing product price has shown direct correlation with volume sales and thus with the sales margins; it is one of the most direct routes between analytics and the bottom line. It is designed to enable retailers to optimize base prices to achieve their sales, volume, profit and price image objectives for regular, everyday items.
myHCM leverages point-of-sales data to run probability and forecasting algorithms to create a set of demand curves for SKUs in particular stores or clusters. The demand curve identifies the products that are the most and least price-sensitive. Additional optimization routines leverage these demand curves to determine optimal recommended pricing.
Our Pricing Optimization answers the following business questions
How can I price my brands to increase the overall portfolio growth?
What is the impact of competitive price on my brands?
Which products or brands are highly price sensitive?
What are the right price points to maximize the sales?
What is the right mix of Price discount and marketing activity?