AI Applications Murcia
An artificial intelligence application for businesses is a system that uses language models, machine learning, or automation to solve a specific operational problem: qualifying leads, processing documents, managing inventory, or answering internal queries without human intervention. Murcia has a business landscape with real weight in sectors such as agri-food, logistics, healthcare, industry, and retail. These are sectors where margins are won through operational efficiency, and where one slow decision or one extra manual process can cost money every day. AI applications designed for each company’s specific context are what makes it possible to remove those bottlenecks.
At Sozpic, we develop artificial intelligence applications for businesses in Murcia from our headquarters in the city. We don’t resell third-party tools or build demos that go no further than a presentation: we build solutions that go into production, connect to the systems you already use, and generate measurable returns. We have more than 15 years in digital and 3 years deploying AI in real business environments, with top-tier clients.
A concrete example: for a group of car dealerships, we built a conversational agent that queries the vehicle inventory in real time, filters results according to buyer preferences, and presents them with technical specs, price, and availability. It’s not a disguised form. It’s a system that understands context, handles exceptions, and connects directly with the sales team’s CRM to qualify every lead.
These agents integrate with CRMs, ERPs such as SAP Business One, internal databases, and external APIs. They can manage sales opportunities, answer technical queries using internal documentation, coordinate workflows between departments, or automate repetitive administrative tasks. They run around the clock and improve with every interaction.
We work with open-source models (Llama, Gemma, Mistral) for on-premise deployments, with models from Anthropic (Claude) and OpenAI for cloud environments under data processing agreements, and with RAG (Retrieval-Augmented Generation) architectures on vector databases for querying internal documentation. All implementations are designed with privacy by design and in compliance with GDPR.
AI Application Examples
Automatic lead qualification
Based on source, sector, web behavior, and purchase intent, with direct upload to the CRM and real-time notification to the sales team. Typical result: over 50% reduction in lead response time.
Product sheet generation
For catalogs and marketplaces, including multilingual translation, based on data from SAP Business One or other ERPs. Especially useful for agri-food and retail companies with large catalogs. We've generated sheets for catalogs of over 500 items in a single run.
Intelligent document processing
Such as delivery notes, invoices, contracts, or technical reports, extracting key data and uploading it into management systems without manual intervention. Accuracy rate above 98% on structured documents.
Logistics incident management.
For transport operators, we've developed systems that ingest incident emails, detect duplicates, automatically classify them by type and urgency using AI, and generate tickets in the client's operations platform.