A leading player in the infrastructure development ecosystem, this enterprise collaborates with government bodies and major private organisations across 15+ industries, offering a portfolio of 300+ products across 12+ business segments. Their solutions power large-scale construction, mining, energy, and infrastructure projects nationwide.
Despite a strong market presence, the organisation grappled with an overwhelming volume of inbound enquiries—most of which were non-sales related—resulting in poor sales productivity and reduced conversion efficiency.
Although inbound interest was high, less than 10% of enquiries showed any sales potential, causing the sales function to be heavily burdened by noise, manual filtering, and low ROI activities.
Worxwide implemented a 4-stage AI-enabled Lead Identification & Qualification Engine, combining artificial intelligence, digital marketing intelligence, headhunting validation, and a comprehensive lead-scoring framework. Every enquiry—both from the client’s system and Worxwide’s generated lists—passed through a calibrated scoring model to determine true sales readiness.
Improved lead relevance and intent scoring resulted in a healthier pipeline and stronger conversion potential.
By eliminating time spent on non-productive enquiries, sales teams focused exclusively on qualified opportunities, doubling effective selling time.
Digital campaigns became more efficient, and sales teams aligned efforts around high-impact leads—improving overall win rates and reducing cost of acquisition.