Nebbot Profile

NEBAN

Some of Our Projects

Contract Optimization & Traceability

Development of a custom platform designed to manage document review and end-to-end contract traceability within the timber supply chain, consolidating statuses, stakeholders, and documentation into a single source of truth.

Core Challenges Addressed
  • Centralizes fragmented data: Eliminates document dispersion across multiple sources.
  • Standardizes Review Protocols: Minimizes human error by unifying criteria.
  • End-to-End Lifecycle Tracking: Ensures full visibility from Receipt → Review → Observation → Resolution → Approval.
  • Field-to-Office Optimization: Streamlines workflows for field supervisors and administrative staff.
  • Audit Readiness: Enhances historical traceability and reporting depth.
  • Centralized Repository: Managed storage for contracts, addenda, and mandatory compliance documents.
  • Automated Workflows: Review cycles with automated status updates and stakeholder assignments.
  • Traceability Dashboard: Granular tracking by contract, vendor, and date.
  • Operational KPIs: Real-time metrics on review times, observations, and rework rates.
  • Audit Trail: Comprehensive historical logs of all prior revisions and changes.
  • 30% Reduction in resources allocated to document review.
  • Significant Decrease in administrative errors and manual rework.
  • Enhanced Compliance: Robust traceability for internal and external audits.
  • Field Efficiency: Supervisors operate with standardized, real-time data.
  • Cost Reduction: Minimized operational overhead by eliminating document duplication.

Operational & Cost Centralization

Implementation of a Lean ERP solution to integrate costs, performance metrics, and operational data for machinery and personnel. The system consolidates information through web forms, APIs, and real-time control dashboards.

Core Challenges Addressed
  • Lack of consolidated cost visibility by project or machinery.
  • Warehouse material inventory control.
  • Management of maintenance processes and controls.
  • Fuel entry and consumption monitoring.
  • Difficulty cross-referencing production data, machine hours, and HR records.
  • Manual processes causing delays and errors.
  • Need for daily operational data to drive tactical decisions.
  • Daily logs for yields, production, and machine hours.
  • Inventory module: tracking material intake and dispatch.
  • Maintenance management: procurement and spare parts inventory tracking.
  • Fuel control module.
  • Integration with external APIs for variable cost tracking.
  • Integrated HR and Attendance module.
  • Access profiles based on roles (operations, management, administration).
  • Operational Dashboard featuring performance, efficiency, and cost KPIs.
  • Complete centralization of operational costs within a single platform.
  • Improved resource redistribution across teams and job sites.
  • Total control over spare parts and materials associated with machinery maintenance.
  • Reduction in operational costs through early detection of deviations.
  • Real-time data access to accelerate decision-making.
  • Standardization of field data collection protocols.

Data Intelligence & Predictive Analytics

Implementation of a specialized BI layer designed to transform raw operational data from multiple sources into actionable insights. This project focuses on predictive modeling and advanced visualization to shift from reactive management to proactive strategy.

Core Challenges Addressed
  • Information Overload: Filtering vast amounts of daily operational data into high-impact metrics.
  • Reactive Decision-Making: Difficulty predicting future bottlenecks or financial deviations.
  • Disconnected Data Silos: Bridging the gap between field operations, financial costs, and external market variables.
  • Forecasting Accuracy: Lack of reliable projections for production yields and resource requirements.
  • Stakeholder Alignment: Need for unified, real-time reporting for executive and operational levels.
  • Unified Data Warehouse: Integration of ERP, supply chain, and external financial data into a single analytical engine.
  • Predictive Performance Models: Machine learning algorithms to forecast production trends and potential operational risks.
  • Automated Executive Reporting: Real-time, interactive dashboards tailored for C-Level and management roles.
  • Anomaly Detection Alerts: Automated notifications for significant deviations in costs or productivity metrics.
  • Custom BI Connectors: Development of specialized APIs to ingest field data from legacy systems or mobile inputs.
  • 15% Increase in operational efficiency through early bottleneck identification.
  • Enhanced Strategic Agility: Decisions backed by real-time data and predictive trends.
  • Improved Financial Planning: More accurate budgeting based on historical performance and forecast models.
  • Reduced Reporting Overhead: Automation of weekly and monthly reporting cycles.
  • Scalable Infrastructure: Designed to evolve alongside the growing complexity of the business operation.

Confidentiality Notice

Some of the projects presented here may have been adapted, anonymized, or partially redacted to respect the confidentiality agreements we maintain with our clients. We operate under strict NDAs and internal security standards, ensuring that sensitive business information, proprietary systems, and client identities are fully protected at all times. What you see reflects our capabilities — not the full scope of the work delivered.
Industries We’ve Worked In

Real-world experience across high-impact industries

We’ve worked across a range of industries, delivering custom software solutions, staff augmentation, and technical execution for companies operating in complex, high-demand environments.

From fintech platforms and logistics systems to healthcare and internal enterprise tools, our experience spans projects where performance, scalability, and reliability are critical.

Each engagement is shaped by the specific challenges of the industry — ensuring solutions that are not only technically sound, but aligned with real business needs.

Supply Chain & Logistics

Manufacturing

AgTech

Energy & Utilities

PropTech / Construction

Tech Services