Case Study: Investment Research and Due Diligence for a Technology Company in AI Logistics

We are thrilled to share an exciting milestone! Our team recently completed an extensive investors due diligence project for a technology company providing AI services in the last-mile logistics sector. This project posed unique challenges, but our commitment to delivering structured, actionable insights allowed us to provide a thorough, effective solution.

The Problem

The company had a promising business plan and financial model, but one key challenge was the misalignment of previous management accounts, documentation, and reporting. Investors consistently requested compliance data, audited accounts, and a clear track record of achievements. However, the company's historical data was scattered and disorganized, making it difficult to present a coherent picture of its financial health and achievements.

The lack of structure also meant there was no continuity between past performance and the future business strategy outlined in the financial model and business plan. Without addressing these discrepancies, investors would hesitate to commit to Series A funding.

Our Approach

Our first priority was to align the company's master data with the reporting requirements stipulated by the investors' checklist. We undertook a comprehensive audit of the existing data, focusing on compliance and documentation gaps. From there, we used a variety of tools to transform raw data into a structured format.

1. Data Structuring and Alignment: Using Power Query and Power BI, we consolidated the scattered data into a single, organized database. This process allowed us to ensure that all financial reports, achievements, and compliance data were accurately represented and easily accessible. We also provided comprehensive visuals that made the data more transparent and investor friendly.
2. Creating Continuity: Once the historical data was organized, we worked to align it with the current business plan and financial model. This ensured that the company’s past performance clearly connected with its future projections, addressing one of the primary concerns investors had raised.
3. Reporting and Visualization: By leveraging data analytics and Power BI, we created visual reports that presented complex financial and operational data in a more digestible format for investors. The visualizations highlighted key metrics, achievements, and forecasts, making it easier for investors to understand the company’s potential.

The Outcome

With the data now structured, aligned, and visualized, we were able to present a cohesive story to investors. The financial model, business plan, and historical performance now flowed seamlessly, providing confidence to investors that the company was prepared for Series A funding. Our comprehensive approach ensured that the company’s achievements were effectively communicated, and its compliance requirements were met.

This case highlights the importance of aligning past performance with future goals and demonstrates how data structuring and visualization tools can streamline due diligence processes. As we move forward, we remain committed to supporting firms with thorough investment research, detailed analysis, and reliable due diligence services, allowing them to attract investors and scale their operations successfully.

?