RetailMachine learning
Retail Analytics Platform
An analytics platform for retail chains providing real-time insights, inventory optimisation and customer behaviour analysis.
Read case studyServices
AI Applications & Automation
AI is only useful when it removes real work or improves a real decision. We start with the process, then pick the model — not the other way round.
What you get
How we help with ai & automation
Practical AI that earns its place — assistants, document processing, forecasting and workflow automation wired into the tools you already use.
- 01
Automate repetitive knowledge work
Extract data from documents, triage emails and tickets, draft responses and update records — with a human in the loop where it matters.
- 02
Give teams an assistant that knows your business
Chat and voice assistants grounded in your own documents and data, with guardrails, citations and access control.
- 03
Predict instead of react
Forecasting and analytics models for demand, risk and customer behaviour, delivered as dashboards and APIs your team can act on.
Deliverables
What a typical engagement includes
- Use-case discovery and feasibility assessment
- Data audit and preparation
- LLM integration (OpenAI, Anthropic, open models)
- Retrieval over your documents (RAG)
- ML models for classification and forecasting
- Workflow automation and system integrations
- Evaluation, monitoring and cost controls
Typical stack
- Python
- TypeScript
- OpenAI
- Anthropic Claude
- LangChain
- Vector databases
- scikit-learn
- n8n
We recommend tools based on your team, budget and long-term maintenance — not on what is fashionable.
Related work
Projects in this area
HealthcareNatural language processing
Healthcare AI Assistant
An AI-powered assistant that supports medical professionals with diagnosis support and patient management.
Read case studyFinancial servicesTime-series analysis
Financial Forecasting System
A predictive analytics system for financial institutions providing market forecasting and risk assessment capabilities.
Read case studyFAQ
AI & automation: your questions
Where should a business start with AI?
With a single, high-volume task that is currently manual and easy to measure — for example processing invoices or answering repeat customer questions. A small, well-scoped pilot shows value quickly and de-risks larger investment.
Is our data safe when using AI models?
We design for data protection from the start: enterprise API tiers that do not train on your data, access controls, redaction of sensitive fields, and self-hosted models where required.
How do you know the AI is giving good answers?
We build evaluation sets from your real cases, measure quality before launch, and keep monitoring in production so regressions are caught early.
Other services
Have a project in mind? Let’s talk.
Tell us what you are trying to achieve. You will hear back within one business day with honest advice on how to approach it — whether or not we are the right fit.
or email contact@reaisol.com · call +91 86887 15231