Results that show up
in the books, not in the deck.

AI Driven · Order allocation

Logistics in the chemical industry

In-depth case

The problem

Three times a day, seven people in logistics spend four to six hours deciding which orders ship: what goes out, to whom, from which stock and on which load. The rule behind that decision lives in spreadsheet formulas, already on revision 285, and in the memory of whoever is running it.

What we did

Reverse engineering of the rules into a catalogue the client validated and signed, and then a deterministic decision engine that proposes the allocation in minutes. Every choice records the rule applied, the reasoning and the data it used. It runs on the client own server, with no data leaving their perimeter.

The result

The allocation used to take six hours a day from each of the seven people, 10,500 hours a year. The engine now proposes it, with every choice auditable, and it became fifteen minutes of review by one or two people: between 63 and 125 hours a year. That is 10,375 hours handed back to the operation.

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AI Driven · Customer service

Animal protein industry

The problem

A large-scale service operation with a high volume of repetitive requests and a rising team cost. The company needed to scale service without scaling headcount.

What we did

SOFIA™ deployed as an agentic AI for autonomous handling of internal requests. The agent now triages, answers and resolves the recurring demands with no human in the loop.

The result

A 60% cut in the total cost to serve, with quality held and every interaction traceable.

Data Driven · Decision making

Food retail

The problem

Slow decisions for lack of consolidated access to data. Leaders depended on technical teams to produce reports, and that created a bottleneck between the data available and the decision needed.

What we did

A data lake with governed architecture and an analytics layer the managers reach through Qlik Sense. Data from many sources unified and available in real time to whoever decides.

The result

Decisions ten times faster. What used to take days to consolidate is available in minutes.

Data Driven · Automation

Food manufacturing

The problem

A data team spending hundreds of hours a year extracting, formatting and distributing reports by hand. Repetitive work that kept the team away from analysis that matters.

What we did

The analytics reporting chain automated, with data pipelines wired into the environment they already had. Reports are now produced, formatted and delivered on their own.

The result

7,680 hours a year of manual work removed. The team moved to analysis and insight, not spreadsheets.

Data Driven · Franchises

Fashion retail

The problem

A franchise network with no central view of performance. Each franchise ran on its own, with no consolidated real-time data for head office to decide across the network.

What we did

A central analytics environment with automated reports fed in real time by each franchise systems, and a network-wide executive dashboard in Qlik Sense.

The result

100% of the franchises reporting in real time, with no manual step. Full visibility of the network, from anywhere, at any hour.

Data Driven · Customer journey

Children's retail

The problem

A high order cancellation rate eating into revenue and creating rework. The customer journey had drop-off points with no clear cause.

What we did

An analytical map of the customer journey pinpointing where friction and loss happen, plus predictive models that flag customers at risk of cancelling before it happens.

The result

A meaningful drop in cancellations, through proactive intervention at the critical moments of the buying journey.

AI Driven · Loyalty

Chemical industry

The problem

A company with no structured loyalty programme, losing its connection to the end consumer and unable to collect buying behaviour data to build repeat business.

What we did

A full loyalty app conceived, built and launched, with built-in CRM, gamification and cashback, created from scratch with intelligence applied at every layer.

The result

A complete app in production, with an active user base, behaviour data flowing and the loyalty programme running. From zero to a real operation, and first place in awards in Brazil and in Europe.