Capability 01
Document upload and extraction
PDF, scan, and screenshot intake with AI-assisted recognition of electricity-bill details.
AI Platform Case Study
An AI-powered energy comparison platform that turns uploaded electricity bills into structured usage data, tariff analysis, solar-aware recommendations, and a guided switching journey.
Sector
Energy technology
Location
Spain
Project Overview
weSwitchSpain is not simply a comparison website. It combines bill ingestion, AI extraction, tariff data, recommendation logic, solar and EV considerations, multilingual content, and assisted switching in one customer journey.
A grounded view of the business context behind the project without inventing vanity metrics.
Why this matters
These case studies are intentionally commercial rather than theatrical. The point is to show how clearer digital structure can improve trust, handling, and market position.
Spanish electricity bills are difficult for many customers to interpret and compare accurately
Reliable recommendations depend on actual consumption, rates, contracted power, location, and household requirements—not a generic lead form
PDFs, scans, and bill screenshots needed to become structured information that the platform could evaluate
Solar exports, virtual batteries, electric vehicles, fixed rates, indexed rates, and regulated tariffs introduce materially different comparison scenarios
The platform needed to combine AI speed with human support and a trustworthy commercial handover
The practical system, content, and structure decisions that shaped the project.
Customers can submit PDFs, scans, or screenshots. AI-assisted extraction identifies usage, charges, contracted power, and other relevant bill data for review.
Structured consumption data can be assessed against multiple suppliers and tariff models, including fixed, indexed, regulated, solar-friendly, and EV-oriented options.
The analysis accounts for export compensation and virtual-battery structures so recommendations reflect solar households rather than treating every customer identically.
The product connects analysis, recommendation, customer explanation, next actions, and human support into a clearer switching journey.
Tariff pages, energy guides, bill explanations, business-energy content, and solar and EV resources support both acquisition and customer understanding.
Audience and objectives
Residents, property owners, solar households, EV drivers, and businesses in Spain that want an evidence-based comparison of electricity tariffs without decoding every bill manually.
Make electricity-bill submission fast across common document formats
Use AI to turn unstructured bills into comparable data
Provide recommendations that account for real usage and specialist requirements
Create a trustworthy path from analysis to supplier switching
Build a scalable content and product foundation for multiple customer segments
Strategy and implementation
The decisions below connect the commercial objective to the structure, content, and user journey of the finished project.
The journey starts with the customer's actual bill, reducing the guesswork created by broad usage questionnaires and headline-only tariff comparisons.
AI accelerates extraction and analysis while the wider service retains expert review and customer support for higher-trust decisions.
Solar, EV, household, and business contexts are represented as different needs rather than being pushed through one undifferentiated funnel.
Interactive analysis is supported by detailed content that explains Spanish energy concepts and captures relevant search demand.
Functional scope
Capability 01
PDF, scan, and screenshot intake with AI-assisted recognition of electricity-bill details.
Capability 02
Comparison across supplier offers and tariff structures using customer-specific bill information.
Capability 03
Specialised logic for export compensation, virtual batteries, charging patterns, and energy-use profiles.
Capability 04
Clear presentation of current costs, alternative scenarios, potential savings, and recommended next actions.
Capability 05
A connected journey from initial audit through explanation and assisted supplier change.
Capability 06
Content and conversion pathways designed for international customers navigating the Spanish energy market.
Search foundations
Search visibility starts with useful page architecture, clear subject coverage, and language that matches how real customers research the service.
Pages address electricity comparison, bill audits, cheaper tariffs, supplier switching, solar, EV charging, and business energy in Spain.
Guides explain difficult bill and tariff concepts, helping both prospective customers and search engines understand the platform's expertise.
Informational journeys connect naturally to bill upload and analysis rather than ending as isolated blog content.
The structure supports customers who need clear energy guidance in Spain across more than one language and buying context.
Project FAQ
AI assists with extracting structured information from electricity-bill PDFs, scans, and screenshots so usage and tariff details can be analysed more quickly.
The platform handles document ingestion, structured bill data, tariff logic, specialist solar and EV scenarios, recommendation reporting, content, and switching support as one connected product.
No. Its product and content structure can support households, solar users, EV drivers, and business-energy requirements.
These notes are intentionally grounded. The point is to show the commercial and operational value of the work clearly, not dress it up with invented numbers.
weSwitchSpain demonstrates AI document processing connected to a genuine commercial decision workflow.
The project combines product engineering, data interpretation, domain-specific recommendation logic, SEO, and conversion design.
It is strong evidence for AI-enabled platforms, document automation, comparison products, and customer acquisition systems.
If the business needs a stronger website, an internal system, or a more structured digital setup, the next step is to scope it properly.