Figures measured in projects led by EloGroup, identified by their sector of origin.
in EBITDA of potential annual gains identified in the early value-hypothesis exploration phase across Supply and Operations challenges accelerated by AI
Basic industryin EBITDA through better decision-making on portfolio, routes and distribution centers
Distributionin inventory levels, while service level rose 3.1% over the same period
Fertilizersin total cost across transactional Supply processes with AI applied
Logistics & TransportationAdd Your Heading Text Here
AI in Operations is not built on technology alone. It demands business mastery and digital fluency. And, above all, the connection between the two.
Analytics, automation, data and generative AI have expanded the repertoire of any operation, yet few bets ever reach the P&L. Value dissipates between the pilot that never scales, the change that never reaches the operation and the benefit that never shows up in results.
We deliver real transformation with AI, from strategy to delivery, connected by design to your business.
There are four axes where this value usually sits.Tap each axis to see the levers we address.
We work end to end across your operation, from strategy to the shop floor.
Our strategic vision applied to solving the complex challenges of your business operation. Each block of the chain carries its own decisions, and that is where EloGroup comes in.
Tap each block to see the objective and the scope we cover.
Turn signals and deviations into coordinated decisions, with real-time monitoring, capacity management, exception management and performance analytics.
Back office that sustains the operation, spanning people and workforce scheduling, procurement and contracts, technology and systems, finance and controllership, legal and compliance, maintenance and facilities.
Six areas to leverage your operation's performance.
Each area responds to a concrete operational symptom. Choose the one that best matches your reality and see what we do, the decision it unlocks and the project evidence that backs the promise.
Tap each area to see scope, decision and evidence.
Not sure where to start? Talk to our specialists and we will map your challenge together.
Talk to a specialist →Six operations and supply chain projects at large enterprises.
Measured results, with declared sector and scope.
Pharmaceutical distribution
Cost-to-Serve
Intelligent Cost-to-Serve monitoring focused on profitability
A micro-costing model that breaks down operational and logistics costs at high granularity. The diagnostic analysis became an automated analytics product, identifying margin detractors and redesigning commercial policies based on real profitability by customer and by SKU.
79% accuracy in cost allocation, with 8 weeks of time-to-value to the first dashboard.
Fertilizers
Inventory & Stock Management
MRO inventory optimization through an analytics solution
An MRO inventory management tool focused on the essential features, ensuring ideal stock and service levels at the same time. The solution reviewed existing policies and processes, adapting them to the new algorithm and integrating management into interactive dashboards.
Service level +3.1% and 6.6% fewer orders, with 30 dashboard screens.
Fuels
Integrated Planning
Digital supply planning product (S&OP and S&OE)
A digital product vision of the planning and monitoring processes of the core business, spanning sales, sourcing, trading and finance. We mapped processes and information flows and defined the future model with the requirements that raise planning accuracy.
Total cost of ownership 50% lower than market tools, with 35 screens for S&OP and S&OE.
Oil & Gas
Control Towers
Supply Chain Control Tower and data governance
A supply chain control tower on a new agile operating model and data governance. We built a semantic model in a data lakehouse architecture, integrating SAP S/4HANA data to automate the Inbound cycle, and enabled self-service BI with data champions.
100% of Inbound in the semantic model, consuming more than 30 structured tables.
Logistics & Transportation
AI Applied
AI agents for international logistics documents
An LLM-based AI agent flow to automate the processing of unstructured documents. The system extracts information from non-standardized invoices and packing lists received by email, with an adaptable flow and an application for prompt editing that ensures consistency at reduced cost.
Cost per document from US$ 4.50 to US$ 0.11, with more than 5,000 files verified per day.
Chemicals
Transformation Strategy
Digital transformation strategy toward operational excellence
A digital transformation strategy and roadmap for 2025–2027, supporting the client's 2030 vision. We structured a value tree to identify financial levers, explored 29 value hypotheses and prioritized three critical domains, with a governance model to ensure capture.
R$ 80 MM of estimated NPV for 2030 in the intermediate implementation scenario.
More than 5,000 projects delivered. Additional cases available under a confidentiality agreement.
