Core capabilities

• Lead discovery by industry, location, and keywords
• Website and contact data extraction
• AI-generated personalized email campaigns
• Bulk outreach campaign management
• Smart time scheduling and follow-ups
• Contact form automation for selected sites
• Delivery monitoring and failure diagnostics
• Opt-out, throttling, and reputation-safe sending controls

Technical stack

Success ratio from similar projects

Based on similar outreach automation projects and campaign benchmarks:

Our future goal

We are planning to extend this platform into a complete AI revenue engine for B2B growth teams.

Our roadmap is focused on helping business teams move from manual outreach to a predictable, measurable pipeline engine.

Expected client impact

• Higher conversion quality and lower wasted outreach
• Faster campaign learning cycles and better decision speed
• More predictable revenue pipeline growth

How the AI layer works

• Retrieves campaign context, lead profile data, and website signals before writing.
• Uses embeddings and vector search to match the right message to the right company context.
• Combines LangChain tools and LangGraph workflows to keep generation, validation, and follow-up steps connected.
• Produces outreach that feels specific to the prospect instead of generic mass marketing.

What the client gets

• A curated list of qualified businesses instead of raw scraped data.
• Context-aware email and form messages that can be reused across campaigns.
• A governed outreach workflow with scheduling, throttling, and follow-up rules.
• Clear reporting on sent, failed, bounced, and completed outreach actions.
• A scalable foundation that can grow from a single niche campaign to multiple markets.

Project objective

To create an easy-to-use HR platform that removes unnecessary enterprise complexity while giving organizations complete control over their HR workflows and data structure.

Technology stack

Core features

Key value

• Simplified HR operations
• Full customization control
• Cloud accessibility
• Lightweight performance
• Business-specific workflow design

Core vision

• Customers discover products through AI-powered intent search.
• Orders are processed and routed automatically.
• Managers receive real-time operational insights.
• Inventory decisions are generated with AI predictions.
• Daily store operations run via automated communication workflows.

System architecture

• AI Product Discovery Engine
• Smart Shopping Experience Layer
• Order Processing Automation Engine
• Operational Notification System
• Inventory Intelligence Engine
• AI Purchase Recommendation Module
• Executive AI Summary Dashboard

Technical stack

Business impact

• Reduces manual operational workload across store teams.
• Prevents stock shortages through predictive restock automation.
• Improves order handling speed and process consistency.
• Enables smarter inventory and purchasing decisions.
• Automates internal communication and priority alerts.
• Transforms e-commerce management into AI-driven operations.

Project goals

• Automate end-to-end business workflows
• Centralize multi-branch management
• Enable real-time data synchronization
• Reduce manual operational errors
• Provide actionable analytics and reporting
• Support scalable business growth

Technology stack

Advanced integrated applications

Key business value

• Centralized business ecosystem
• Real-time cross-platform synchronization
• Reduced manual workload
• Scalable enterprise architecture
• Data-driven decision making

Target use cases

• Retail and super shops
• Restaurants
• Pharmacies
• Agro businesses
• Fuel stations
• Multi-branch enterprises

Short portfolio description

Lienexpos is an enterprise-level CRM and business automation platform integrating POS, inventory, HRM, accounting, and e-commerce into a unified ecosystem with real-time synchronization and analytics-driven decision support.