AI is no longer science fiction
Five years ago, when someone talked about artificial intelligence in the Peruvian business context, the conversation usually remained theoretical. Today is different. Retail, health, tourism and financial services companies in Peru are already using AI to improve their day-to-day operations.
The democratization of tools like OpenAI, Google Gemini, and cloud services with integrated AI has lowered the barrier to entry dramatically. You no longer need a team of data scientists to implement intelligent solutions.
Chatbots that serve 24/7 without additional salaries
One of the fastest uses to deploy and with the highest return on investment is the intelligent chatbot for customer service. Unlike old decision tree bots, modern chatbots with large language models (LLMs) understand complex questions, handle the context of the conversation, and respond naturally.
A tourism company in Cusco implemented a chatbot on WhatsApp Business that handles itinerary queries, tour availability and quotes. Result: 60% of initial queries are resolved without human intervention, and the sales team only intervenes when the customer is ready to buy.
- 24/7 availability
- Simultaneous management of dozens of conversations
- CRM integration to personalize responses
- Automatic escalation to human agent when necessary
Automation of administrative tasks with AI
Beyond chatbots, AI is transforming the back-office of many companies. The automatic processing of invoices and receipts, the classification of emails and requests, and the generation of reports are tasks that today can be done with artificial vision models and natural language processing.
A concrete example: a private clinic in Lima automated the transcription of medical notes from audio to structured text using Whisper and GPT-4 models. Doctors now dictate their notes during the consultation and the system generates the formatted clinical document automatically. Saved 45 minutes of administrative work per doctor per day.
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Predictive analysis to make better decisions
Predictive analytics involves using historical data to anticipate future trends. Companies that implement it can make inventory, pricing or hiring decisions weeks in advance instead of reacting when it's too late.
A pharmacy chain in Lima uses predictive models to optimize the replenishment of medications by location. Before they had stock shortages in 15% of the top products; today that number dropped to 4%, with the same purchasing budget.
- Demand forecast for inventories
- Automatic customer segmentation for campaigns
- Detection of anomalies in financial transactions
- Churn prediction in subscription services
AI on WhatsApp: the channel you already have
WhatsApp is the dominant communication channel in Peru. 90% of smartphone users use it daily, and many companies already use it for sales and support. The difference is incorporating AI to scale that channel.
With the WhatsApp Business API and language models, it is possible to create conversational flows that qualify leads, deliver personalized product catalogs, process orders and confirm payments, all within the app your customers already use.
Where to start?
The most common mistake companies make is trying to implement AI in all their processes at the same time. The recommendation is to identify the process with the highest volume of repetitive manual work and the greatest impact on the business, and start there.
At Alaz we help Peruvian companies identify the most profitable AI use cases for their context and implement them progressively. If you have processes that could benefit from intelligent automation, contact us for an initial evaluation.
