The client was looking for automated generation of dynamic content for their food products in the LATAM market. They needed a configurable content generation platform tailored to generate country/language/retailer-specific content oriented to holiday seasons and special occasions, target demography, package sizes, flavors, price buckets, etc.
The client sought to enhance their Executive Dashboard on DOMO, which provides detailed insights into content utilization across platforms and devices.
The client, one of the largest global microprocessor manufacturers, wanted to establish a scalable, data-driven system and process to establish adherence to brand governance, increase brand visibility, and improve consumer experience.
The client wanted to get an overview of the payments market, with a focus on the ‘Buy Now, Pay Later’ (BPNL) segment and its major players.
The multinational bank wanted to understand the key drivers of satisfaction and loyalty of customers towards the bank and its services, including retail, home loan, and credit card services. They also wanted to understand the key drivers of satisfaction towards their commercial banking operations.
The client had a suite of ML models created by internal and external partners. Most of these were propensity models designed for Next Best Action (NBA) to optimize recommendations for HCP Engagement across ONC and CV therapy areas.
They wanted to develop an in-house end-to-end MLOps framework to streamline the deployment process and ensure smooth ongoing maintenance for the ML solutions.
The Consumer Channel Sales and Marketing (CCSM) team wanted to evaluate their retail partners based on their marketing, ecommerce, omnichannel, and subscription capabilities. The objective was to help the regional teams have a deeper dialogue and challenge the status quo with their partners.
The client, a US-based multinational F&B manufacturer and retailer, faced issues related to stock planning that led to a regular loss of sales. While physical retail stores are required to stock inventory to fulfill both digital commerce and e-commerce orders, there was a lack of SKU optimization, with inadequate inventory and uneven stock planning.
The client, a leading national bank in the Middle East, was looking for a solution to enable efficiency in operations between Credit, Business, Documentation, and other related functions though automation of credit Actions and workflows.
The client wanted to understand the price elasticity and cross-elasticity between its key SKUs to make informed pricing decisions.
Further, the client regularly ran price promos and wanted to understand the optimal pricing opportunities without compromising on share/volume.
The business problem was to figure out the winning Brand-Price-Pack Type combination that would help the brand gain maximum revenue share from its competitor with minimal cannibalization.
Helped the client benchmark their own field resources against key competitors, enabling them to make informed decisions on field force structure.
Enabled the client to perform gap analysis in their promotional strategy and devise plans to boost their market share-of-voice
The client had multiple brands under their umbrella and were facing difficulties in managing and maintaining data across different brands to obtain insights. Infrastructure scalability was a big concern while managing both clickstream as well as social data. Inconsistencies were common and there was tremendous manual effort involved in preparing the required excel reports.
The client wanted to integrate data from 100+ website on a daily basis and define digital, promotion and product strategy It was expensive and complex to procure multiple servers and integrate them to extract data from websites They wanted to set up a Big Data processing tool which would automate the process.
The client’s marketing team wanted to create a one-stop reporting tool to access necessary information on global marketing campaigns. At that time, information was accessed through multiple systems and marketing analysts were spending a lot of time shuffling through systems. In order to avoid that, they wanted to improve the process and run optimum campaigns.
A Leading consumer products company wanted an effective way of predicting and forecasting campaigns for a specific product line…
