Unilever

Unilever x ITMAGINATION

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My team and I have been deep diving into the FMCG industry and talking to a few people about their goals. Below are the most innovative product plans we saw.

IoT-Enabled Inventory Management

Modernize your manufacturing facilities by using Internet of Things (IoT) technology to optimize inventory management, reduce waste, and increase customer satisfaction by preventing understocking.

Expected project outcomes:

  • Increased efficiency in inventory management through real-time monitoring and tracking.
  • Reduced waste through optimized inventory management and better utilization of resources.
  • Improved customer satisfaction through better product availability and reduced stockouts.
  • Increased operational efficiency through automation and streamlined processes.

Data & AI/ML Driven Customer Insights

Gain a deeper understanding of customer behavior and preferences, improve customer engagement and satisfaction, and optimize business processes and improve decision-making across your operations - using data analytics and machine learning solutions.

Expected project outcomes:

  • Improved decision-making through data-driven insights using both first-party data and third-party sources like NielsenIQ data.
  • Improved customer engagement and satisfaction through personalized and targeted marketing campaigns.
  • Increased sales and revenue through data-driven decision-making, targeted campaigns, and advanced analytics capabilities.
  • Increased efficiency through automation and optimized processes.
  • Enhanced brand reputation and customer loyalty through better understanding of customer needs and preferences.

Supply Chain Traceability Solutions

Improve transparency, reduce costs, and increase the efficiency of your supply chain. Whether it's through a traditional tech stack or by using advanced analytics technology for better traceability, we are here to support your efforts to build a better, more ethical supply chain.

Expected project outcomes:

  • Improved supply chain transparency through real-time tracking and monitoring.
  • Reduced costs through optimized processes and reduced waste.
  • Improved customer satisfaction through increased product traceability and accountability.

Omni-Channel E-Commerce Platform

Build a comprehensive e-commerce platform that integrates with your existing systems and supports a seamless customer experience across all channels.

Expected project outcomes:

  • Increased sales and revenue through enhanced online shopping experiences and streamlined checkout processes.
  • Improved customer engagement and loyalty through seamless experiences across all channels.
  • Enhanced brand reputation through improved online presence and reputation management.

Predictive Maintenance

Leverage predictive analytics to improve maintenance processes and reduce downtime for your manufacturing facilities.

Expected project outcomes:

  • Reduced downtime through proactive maintenance and reduced unplanned maintenance.
  • Increased operational efficiency through optimized maintenance processes.
  • Improved product quality through more consistent and efficient maintenance processes.
  • Reduced costs through optimization of manufacturing processes and reduced downtime.
  • Improved product quality through better monitoring and control of the manufacturing process.

Enterprise Productivity Applications

Unify all your employees’ workflows, grant them immediate access to digital tools and workspaces on a single platform designed to improve productivity.

Expected project outcomes:

  • Replace outdated paper-based and manual processes with a sleek, digital solution that connects your entire workforce.
  • Simplify access to third-party tools for communication, learning, payroll, and more significantly reducing the time spent on administrative tasks.
  • Ensure robust security across devices while offering versatile access options, from personal smartphones to corporate tablets.

After hearing about the Digital Hubs recent investment expansion, my team and I have been deep diving into Unilever's digital strategy.

Here's how we think ITMAGINATION can assist Unilever in your Digital Hubs.

1. Digital R&D:

"Smart Factory Implementation"

A project aimed at modernizing Unilever's manufacturing facilities with cutting-edge technology and automation to increase efficiency and reduce costs.

Expected project outcomes:

  • Increased operational efficiency through automation and streamlined processes.
  • Reduced costs through optimization of manufacturing processes and reduced downtime.
  • Improved product quality through better monitoring and control of the manufacturing process.

"Digital Product Development"

A project focused on leveraging digital tools and techniques to streamline the product development process and bring new products to market faster.

Expected project outcomes:

  • Faster time-to-market for new products through streamlined development processes and efficient collaboration.
  • Improved product quality through enhanced prototyping and testing capabilities.
  • Increased innovation through leveraging digital tools and techniques.

2. Digital Supply Chain:

"Blockchain Traceability"

A project aimed at implementing blockchain technology in Unilever's supply chain to improve transparency, reduce costs, and increase efficiency.

Expected project outcomes:

  • Improved supply chain transparency through real-time tracking and monitoring.
  • Reduced costs through optimized processes and reduced waste.
  • Improved customer satisfaction through increased product traceability and accountability.

"IoT-Enabled Inventory Management"

A project aimed at using Internet of Things (IoT) technology to optimize inventory management, reduce waste, and increase customer satisfaction.

Expected project outcomes:

  • Increased efficiency in inventory management through real-time monitoring and tracking.
  • Reduced waste through optimized inventory management and better utilization of resources.
  • Improved customer satisfaction through better product availability and reduced stockouts.

3. Data & Analytics:

"Predictive Maintenance"

A project aimed at leveraging predictive analytics to improve maintenance processes and reduce downtime for Unilever's manufacturing facilities.

Expected project outcomes:

  • Reduced downtime through proactive maintenance and reduced unplanned maintenance.
  • Increased operational efficiency through optimized maintenance processes.
  • Improved product quality through more consistent and efficient maintenance processes.

"Data-Driven Customer Insights"

A project aimed at using data analytics to gain a deeper understanding of customer behavior and preferences, and improve customer engagement and satisfaction.

Expected project outcomes:

  • Improved customer engagement and satisfaction through personalized and targeted marketing campaigns.
  • Increased sales and revenue through data-driven decision-making and targeted campaigns.
  • Enhanced brand reputation through better understanding of customer needs and preferences.

4. Technology:

"Cloud Migration"

A project aimed at migrating Unilever's IT systems and data to the cloud to increase scalability, reduce costs, and improve security.

Expected project outcomes:

  • Increased scalability through access to cloud-based resources and tools.
  • Reduced costs through optimized IT infrastructure and reduced need for on-premise hardware.
  • Improved security through increased control over data and compliance with security standards.

"Artificial Intelligence Optimization"

A project aimed at leveraging artificial intelligence to optimize business processes and improve decision-making across Unilever's operations.

Expected project outcomes:

  • Improved decision-making through data-driven insights and advanced analytics capabilities.
  • Increased efficiency through automation and optimized processes.
  • Improved customer engagement and satisfaction through personalization and targeted campaigns.

5. Digital Marketing & Commerce:

"Omni-Channel E-Commerce Platform"

A project aimed at building a comprehensive e-commerce platform that integrates with Unilever's existing systems and supports a seamless customer experience across all channels.

Expected project outcomes:

  • Increased sales and revenue through enhanced online shopping experiences and streamlined checkout processes.
  • Improved customer engagement and loyalty through seamless experiences across all channels.
  • Enhanced brand reputation through improved online presence and reputation management.

"Digital Marketing Automation"

A project aimed at using digital marketing automation to improve the efficiency and effectiveness of Unilever's marketing campaigns and drive sales.

Expected project outcomes:

  • Increased efficiency and effectiveness of marketing campaigns through automation and optimization.
  • Improved return on investment through targeted and personalized campaigns.
  • Enhanced customer engagement and satisfaction through relevant and personalized marketing experiences.

These are just a few examples of projects that could be tailored to fit Unilever's unique company profile. We would be happy to work with you to develop a customized project plan that meets your specific needs and goals.

Let's talk about your goals!
Anja Mrkonjic

Anja

Client Partner

Hisham

Head of Marketing

See what some of our clients have to say

David McGowan
SVP, CIO of Global Commercial Services. Previously CTO at Kabbage, Acquired by American Express
"Kabbage’s (Acquired by American Express) partnership with ITMAGINATION has been instrumental in completing our goals across numerous major projects."
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Małgorzata Dąbrowska
Chief Operating Officer & Board Member
"ITMAGINATION has been cooperating with BNP Paribas since 2012, completing many initiatives with the bank, providing and implementing software that was developed especially for our needs."
Dorota Poniatowska-Mańczak
Chief Innovation Officer
"We have been cooperating with ITMAGINATION since 2016. The main project created by ITMAGINATION for our company was implemented very quickly – in only 13 months."
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David Wood
Managing Director
"ITMAGINATION's team was able to understand our business needs and set up a development team quickly and to a high quality."
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Michael Wolf
Chief Technology Officer (CTO)
"The  team has been great to work with, they are direct communicators, open to  feedback and work hard to build a great product."
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Robert Pernak
Pricing Manager
"ITMAGINATION's team clearly understands our needs, have top-notch expertise both in our sector (FMCG), as well as the technologies used - Business Intelligence Data Warehousing."

Cutting Edge Solutions Delivered to the World's Leading Enterprises Across Industries

4B+ Records & 3.2M Credit Accounts Migrated with Near-Perfect Accuracy

Delivered a 13-month migration project, moving 4+ billion records and 3.2 million credit accounts across 9 source and 4 target systems. We achieved exceptional data integrity with only 14 rejected records (expected) and full real-time reconciliation across 650+ reports.

Automated KYC & AML at Scale Reduces Operational Risk & Compliance Costs

BNP Paribas automates KYC & AML workflows at scale with a modernized application, handling 100,000 monthly assessments across 700+ branches. The system integrates with customer-facing and back-office platforms, eliminating manual data re-entry and improving efficiency.

Data Warehouse for Regulatory & Operational Reporting Across 20+ Systems

Built a data warehouse which consolidates data from 20+ systems including two core banking platforms for accurate regulatory & operational reporting. The engine streamlines ETL, validation, and BASEL II compliance, supporting both daily operations and long-term MIS strategy.

Clickstream Analytics at Petabyte Scale for 9M+ Retail Customers

Built a clickstream analytics platform for CRM and risk modeling across digital channels. With 1PB+ of behavioral data, 900+ predictive triggers, and integrations with external sources, the solution improves loan targeting, boosts campaign conversion, and sets the foundation for real-time engagement.

Advanced Analytics Discovery for Credit Risk, Retention & CLV Optimization

Through exploratory analysis and predictive modeling of contract and customer data, we delivered actionable recommendations across credit risk, churn prevention, and customer lifetime value, laying the base for data-driven decision-making and long-term analytics initiatives.

Migrated 44,000 Card Accounts and 100m+ Transaction Records in a Single Weekend

BNP Paribas consolidated systems ahead of a major merger by migrating 44,000 card accounts. We executed two dress rehearsals and delivered a migration with 900+ data mappings and 170 reconciliation rules in a weekend.

Hybrid Cloud on Azure

Infrastructure scalability, implementation of best practices, high reproducibility after failures, and major reduction in maintenance costs of the solution.

Time-to-market: 1 month to 2 weeks

Armadillo uses modern architecture to reduce time-to-market from 1 month to 2 weeks, enabling agile regional launches & enhanced customer insights.

Global Power BI Reporting Platform for 177 Factories Across 45+ Countries

Migrated on-prem data to an Azure-based data warehouse. Created a Power BI solution enabling top execs to analyze costs & profits including materials, waste, and logistics. Implemented fine-grained access controls and delivered role- and location-specific reports across 177 factories.

Cut Concrete Costs & CO₂ Emissions with Optimized Mixing App

Developed a web-based app using non-linear optimization to reduce raw material usage and emissions in concrete production. The Azure-hosted solution enables CRH to calculate cost, CO₂ impact, and performance in real time, supporting sustainable manufacturing across global plants.

Reduced Downtime & Warranty Claims with Predictive Maintenance Models

Developed IoT-powered predictive maintenance and quality models using sensor data and neural networks to detect production anomalies. The Azure-integrated solution improved uptime, reduced product returns, and enhanced quality control across 11 manufacturing sites.

Streamlined Global Sales Reporting For 30+ Entities & Multiple Currencies

Delivered a centralized Azure-based reporting platform, consolidating data from diverse ERP systems across 30+ entities. Using Data Factory, Data Lake, and Power BI, the solution provides multicurrency reporting, budget-actual-variance calculations, data consolidation, and real-time sales insights across global operations.

Large-Scale ERP Modernization for 3,500+ Users in 5 Countries and 7 Business Units

Rebuilt Skanska's ERP, replacing old technology with a modern, scalable system supporting Construction, Commercial, and Residential units. Designed & deployed 500+ system screens and a mobile app, ensuring multi-country compliance and real-time financial consolidation.

Competitor Price Intelligence Platform Built on Azure Data Lake

Developed a web scraping and analytics solution, capturing competitor pricing data across 60+ B2B and B2C websites. Built on Azure Data Lake and SQL, it enables real-time price monitoring, centralized analysis, and self-service reporting to support agile pricing strategy decisions.

Unified Azure Analytics Platform for Structured, Unstructured & IoT Data

Built an advanced analytics platform, automating deployments across Azure Data Lake, Databricks, Cosmos DB, and Event Hubs. It enables departments to ingest & analyze diverse data types - from IoT streams to business systems within a unified cloud-native environment.

Self-Service BI Platform Deployed Across 10 Countries During ERP Rollout

Delivered a modern Azure-based BI solution alongside their Microsoft Dynamics ERP rollout. The self-service platform enables mobile, ad-hoc reporting across sales, finance, and manufacturing, allowing in-depth margin analysis and full visibility into product performance from factory to customer.

80% Faster Document Processing & Automated Workflows: Hours to Minutes

Modernized Daikin’s legacy platform, replacing unstable, unreliable systems with a secure, scalable Azure-based solution. We automated approval, translation, and publishing workflows, cutting document processing time by >90% & reducing manual effort by 80%.

50% Cost Reduction & 80% Fewer Support Tickets with Unified IoT App Platform

Dometic consolidated and modernized two apps into a single platform, cutting development costs by 50% and reducing support tickets by 80%. We streamlined QA and backlog, reducing 600+ open issues to <100.

Azure Infra Performance Improvements

Enhanced log analytics, improved cost tracking & reduction, and optimized ETL processes for better efficiency and insights.

Improved Invoice Accuracy with AI-Based Text Mining & Anomaly Detection

Implemented a logistic regression model with advanced text mining and feature engineering to detect wrong classifications in invoice processing. The solution significantly reduced manual errors by analyzing both structured fields and free-text descriptions, boosting overall system efficiency.

Automated Social Media Monitoring with AI-Powered Image Recognition

Built a neural network–based system to detect product placement across social media in real time. The solution identifies brands, objects, and context, enabling automated marketing reports, influencer tracking, and competitor analysis for global marketing teams.

Automated Invoice Processing Cuts Manual Work, Speeds Up Payments

Nestlé moved to automated invoice processing, enabling 100+ users across Finance, Accounting, and Sales to improve compliance, eliminate manual entry, streamline invoice approvals, budgeting, and mass payouts.

Time-to-Insight Reduced from 1 Week to Under 1 Day for 100+ Users

Built a scalable Azure-based BI solution for Hochland, replacing Excel with Power BI and Azure Analysis Services. By integrating 26 data sources into a unified model, we reduced time-to-insight from 1 week to hours, advancing decision-making across sales, planning, and operations.

Unified BI Platform Across 11 Countries Powers Sales & Financial Insights

Modernized Danone's analytics, consolidating data from SAP, Navision, and external sources into an Azure-based BI platform. Spanning four product lines and 11 countries, the solution improved sales planning, inventory, and margin analysis, supporting short and long-term decisions.

Achieved 85%+ Forecast Accuracy with AI-Powered Sales Predictions

Built a regression-based forecasting model using Gradient Boosting and time-series analysis to predict hourly sales, returns, and restocking efficiency. The solution improved inventory planning and operational effectiveness across stores using Python, R, and SQL-based analytics.

Automated Market Data Integration Saves Days of Manual Work Monthly

Built a centralized BI platform, consolidating Nielsen data and internal Sell-In data into a unified reporting layer. The solution eliminated manual file consolidation - enabling faster insights, improved marketing responsiveness, and self-service reporting across markets.

Scalable RFID Data Lake Processes 3M+ Events Daily For Stores & Warehouses

Developed a real-time RFID data integration platform for LPP, capturing over 3 million daily events across warehouses, showrooms, and stores. Built on Azure Data Lake and Power BI, it delivers live alerts on product exposure and enables granular movement tracking, supporting loss prevention & inventory optimization.

Global Sales & Merchandising Platform for 3,000+ Users Across 50+ Markets

Delivered a scalable, automated analytics solution for a global FMCG company, integrating sales & merchandising data across global teams. With Power BI dashboards and predictive data quality tools, the solution empowers 3,000+ users with informed decisions in 50+ markets.

Modern Azure-Based BI Platform Serving 200+ Sales, eCommerce & Logistics Users

Built a scalable, centralized data & BI platform on Azure, covering eCommerce, logistics, and sales. With Azure-hosted SQL, Power BI, and Analysis Services, it enables self-service dashboards, master data unification, and real-time access to business-critical insights for 200+ users.

Logo Recognition Model Achieves 90%+ Accuracy in Global Field Use

Developed a deep learning-based image recognition model for Cheil to validate Samsung's logo consistency across global retail locations. Achieved over 90% balanced accuracy; even in poor lighting or angles, and integrated the model into a mobile tool used by sales teams worldwide with <3s response time.

LPP Uses Computer Vision to Analyze In-Store Traffic and Product Exposure

Delivered a machine learning solution that processes CCTV footage in milliseconds to detect queues, count customers, and analyze shelf space in retail stores. The system helps LPP validate in-store behavior patterns and boosts demand forecasting with ground truth data.

Large Scale AWS Migration with Zero Business Disruption

HRS migrated their core booking & expense mgmt. platform to AWS with zero downtime. We implemented real-time monitoring, resilient DevOps pipelines, and automated API integrations for long-term reliability.

GenAI Legal Assistant Delivered on Azure for Dutch LegalTech Startup

Built a secure, GPT-powered legal research assistant using Azure OpenAI, Semantic Kernel, and Cognitive Search. Enabled Dutch legal professionals to query across laws and case files with source attribution and AI-powered Q&A; addressing major limitations of public LLMs while validating the client’s product-market fit.

50% Azure Costs Reduction

Reduction of 50% in cloud costs thanks to a robust FinOps strategy and day-to-day platform improvements led by our architect.

Internal Copilot Boosts Sales Efficiency with Tailored Case Study Discovery

Developed an internal Copilot solution that uses Azure OpenAI to match relevant case studies to active sales conversations. The tool improves response time and personalization, empowering the sales team to deliver stronger, evidence-backed proposals faster.
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Let's Accelerate Innovation Together.

Someone from our team will reach out soon!

We can help in these areas and more:

Digital Engineering
Data Modernization
AI / ML Solutions
Development Nearshoring