// Case studies

Real operations,
measurable results.

Every case is an operation where strategy, AI and engineering combined to turn frictions into profitability.

C.01

B2B & Commercial Automation

Friction: Complex commercial processes, stalled organic acquisition and weaknesses qualifying B2B leads.
Evolutify Ecosystem: Automation of content flows and deployment of conversational AI agents for commercial management and 24/7 support.
Impact: 80% reduction in commercial response times and full automation of the first customer-qualification filter.

C.02

AI Adoption & Efficiency (Evolutify Academy)

Friction: Operational tech gap. The team lacked the skills to integrate AI into reducing research and process times.
Evolutify Ecosystem: Corporate technical immersion. Training in language-model orchestration, advanced prompting and deployment of conversational assistants for daily operations.
Impact: Tech autonomy for the team and a 15% reduction in operational hours spent on research and asset management.

C.03

Analytics & Data Architecture

Friction: Disconnect between commercial data volumes and operational execution, limiting strategic decision-making.
Evolutify Ecosystem: Predictive-analytics pipelines and modernization of analytical processes to integrate the business view with data infrastructure.
Impact: Optimization of corporate resource allocation and elimination of bottlenecks in the commercial information chain.

C.04

Spanish Market

Friction: Rigid tech infrastructure that limited eCommerce scalability and response speed under high traffic.
Evolutify Ecosystem: Modernization of the engineering stack, optimization of search architectures and rollout of agile methodologies to ensure high availability.
Impact: Guaranteed transactional-system scalability and a radical improvement in the end-user conversion experience.

C.05

North America · Amazon & Shopify

Friction: Manual product-research processes, acquisition costs at the limit and frictions in organic positioning vs competitors.
Evolutify Ecosystem: Deployment of autonomous analytics systems for market validation and execution of Growth strategies across the logistics and digital ecosystem.
Impact: Margin expansion, operational efficiency in the supply chain and faster time-to-market.

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