Aktion E.I.R.L. — Consulting in optimization, digital transformation and AI

Services

From diagnosis to implementation, focused on measurable results.

Process optimization

We analyze how your company works, identify bottlenecks and redesign processes to reduce costs, time and errors.

Digital transformation

We guide your business through digitalization step by step: the right tools, system integration and real adoption by your team.

AI applied with judgment

We assess where artificial intelligence generates real returns for your business — and where it doesn't. We implement only what improves results.

Automation

We automate repetitive tasks and workflows so your team can focus on what creates value.

Our approach

Pragmatic, hands-on and results-driven.

01

Results first

Every recommendation starts from a simple question: does this improve your business numbers? If not, we don't propose it.

02

Technology that fits you

We don't sell one-size-fits-all solutions. We design for your company's size, budget and reality.

03

Real partnership

We work alongside your team until the solution works in daily operations — not just in the slide deck.

Portfolio

Real cases of computer vision applied to existing security cameras — no additional hardware.

Real case · Specialty coffee shop, Lima

Video analytics for retail and hospitality

Using the cameras the business already had installed, we built an artificial-intelligence system that detects people and faces, tracks their path and classifies attributes of each visitor. All the analysis is performed by AI models and computer algorithms, with no manual intervention. The outcome: foot-traffic metrics, customer profiles and real-time occupancy, with no infrastructure changes.

Video detection

Real-time face detection

Computer vision model applied to the camera of a coffee shop in Lima: detects and frames every face in the video, the foundation for people counting, occupancy control and customer-flow analytics.

Computer VisionFace Detection

People detection and tracking

Full-body detection with a confidence score per person, inside and outside the venue. Enables dwell-time, table occupancy and storefront foot-traffic metrics — all from the existing camera.

Computer VisionObject Detection

Per-person attribute classification

For every person crossing the entrance, AI models and computer-vision algorithms automatically estimate gender, age range, clothing style and carried items — anonymous data that feeds customer-profile reports.

Gender: Female
Age: 31–40
Group: Adult
Style: Sport / Activewear
Carrying: Handbag

Gender: Male
Age: 18–30
Group: Young adult
Style: Casual
Carrying: Shopping bags

Gender: Male
Age: 18–30
Group: Young adult
Style: Delivery courier
Carrying: Delivery bag

Gender: Male
Age: 61–70
Group: Senior
Style: Tourist / Relaxed
Carrying: Backpack, shopping bags, travel luggage

Generated metrics

The AI-generated detections are aggregated by computer algorithms into a dashboard: visitors per hour and per day, a day × hour heatmap, carried accessories, estimated age range and likely occupation. The business learns when to add staff, which audience it serves and how to plan promotions.

Metrics dashboard: visitors per hour, per day, heatmap, accessories, age range and occupation

All classification is performed by AI and computer algorithms. Faces are shown anonymized and the generated data is aggregated and anonymous: no individual is identified.

Real case · Agribusiness (blueberries), Peru

Digital transformation: field scorecard in the cloud

Counting plants, buds, flowers and fruits was done on paper and later typed into Excel: slow, error-prone and with data available days later. We turned it into a cloud web application that works offline in the field and syncs when connectivity returns. Now any authorized person sees progress and results in real time, from any device.

Before: paper and Excel, data days later. Now: decentralized and in the cloud, real-time access.

Farm sketch map: each valve shows its progress status in real time.

Per-plant counting: buds, flowers, fruit set and fruits by ripeness stage.

Real case · Social event (wedding)

Face recognition: all your photos, instantly

Face recognition is also part of our portfolio, with many uses: finding all your photos at a large event by enrolling just a few reference photos, attendance and clock-in without cards or fingerprints, or triggering alerts when an unknown person enters a monitored area. In this demonstration, white boxes are detected faces and the green box is the recognized person — even in moving scenes or through a car windshield. For privacy, faces are shown covered.