How Nexizo Helped a Global Real Estate Consultant Cut Tender Noise by 75%

Client Introduction

The client is a leading global real estate consulting firm providing strategic advisory, project planning, and transaction management services. Their expertise covers end-to-end solutions for real estate development, including detailed project reports (DPRs), feasibility studies, pre-construction consultancy, transaction advisory, and large-scale master planning projects for urban development.

Challenges Faced

The generic nature of "consultancy" created noise in opportunity alerts, often including irrelevant but similar categories like:

• Supervisory contracts, project management works
• Surveys (GIS and Geotechnical)
• Road and highway-related consultancy projects
• Drainage, sewage network, and other water-related projects
• Electrical consultancy projects related to transmission lines and sub-stations

For the client, this created a significant challenge in identifying and responding to the right government tenders. The team wanted to focus solely on tenders related to boosting productivity and growth in the B2G advisory space:

• Real estate consulting and transaction advisory
• DPR and feasibility studies for new building construction projects
• Pre-construction and master planning consultancy

Before adopting Nexizo, the team used to manually review more than 1500+ tenders per week to shortlist 15–20 relevant ones. This process consumed close to 50 man-hours weekly, with frequent risks of either missing high-value opportunities or reviewing irrelevant listings.

Solutions Provided by Nexizo

Nexizo leveraged its AI-powered tender intelligence platform to fine-tune opportunity identification for the client. Key solutions included:

• Customised AI Model Training: Historical tender data and the tenders related to the client’s priority segments were analysed to train Nexizo’s custom ML algorithm. The model learned to distinguish tenders based on the context instead of relying on keywords like “consulting,” “DPR,” “feasibility, etc. The algorithm was continuously retrained based on customer feedback, which we received in the form of tender acceptance/rejection on Nexizo’s platform. 
• Exclusion Query Injection: Defined and applied custom exclusion criteria to filter out non-relevant segments like digital surveys, water-related works, and infrastructure supervision.
• Deep Document Interpretation: Implemented an AI-based parsing system to read tender documents like NIT and RFP to fetch the detailed scope of work. This semantic analysis of documents was required to effectively establish tender intent even when descriptions lacked explicit categorisation, ensuring the delivery of only high-value, scope-specific tenders.
• Targeted Opportunity Delivery: Opportunities shortlisted by our relevancy prediction algorithm were evaluated against qualification criteria in the tender. The system parsed technical documents (RFP and NIT) to comprehensively extract critical parameters, including technical and financial eligibility requirements, mandatory documentation, and the complete scoring methodology. This detailed analysis was then utilised to provide the client with the eligibility recommendations tailored precisely to their company profile.

Within four weeks of deployment, the AI model achieved over 90% accuracy in distinguishing relevant consulting tenders from unrelated ones—a key milestone given the complex and overlapping structure of tender data.

Overall Impact

With Nexizo’s AI-powered tender intelligence, the company significantly streamlined its tender discovery process. The company now receives precise, scope-aligned, and eligibility-matched consultancy tenders—reducing manual effort and increasing bid efficiency.

Key outcomes included:

• 75% reduction in time spent on tender shortlisting and validation.
• Significant reduction in tender noise, enabling 3x faster decision-making.
• More than 95% accuracy in relevant tender identification.
• Identification of 100+ new, previously overlooked consultancy tenders within the first quarter of deployment.
• Sharp increase in bid conversion efficiency due to more focused opportunity targeting.

Client’s tender management process was transformed into a streamlined, data-driven workflow. By leveraging Nexizo’s domain-trained AI, instead of manually filtering through hundreds of listings, the team now receives curated, high-relevance tender alerts powered intelligently by Nexizo’s AI model.