AI CRM for Heavy Manufacturing

Our client, a $500M manufacturer of industrial mining equipment, was losing market share due to a fragmented sales process. Their sales team of 150 engineers was using legacy spreadsheets and a bloated, highly customized Salesforce instance that was incredibly slow and expensive to maintain ($400,000/yr in licensing).

Because the sales cycle for mining equipment averages 18 months, reps were failing to follow up at the exact right moment. Furthermore, the sales team had no visibility into post-sale machine telemetry (IoT data), meaning they were completely missing out on lucrative spare-parts upselling opportunities when a machine was nearing a maintenance cycle.

Vanavya Tech engineered a Custom AI-Driven CRM from the ground up, entirely eliminating the client's dependency on Salesforce.

We built a blazing-fast React frontend tailored specifically for field sales engineers, featuring offline capabilities for when they are deep inside mining sites with no cell service. The core innovation was the AI integration. We ingested historical sales data into a custom Machine Learning model to create a "Predictive Lead Scoring" engine. The CRM now automatically ranks the pipeline, telling the sales rep exactly which client is mathematically most likely to buy this week.

Secondly, we integrated the CRM directly with the client's IIoT (Industrial IoT) database. When a sensor on an excavator detects high vibration (indicating an imminent part failure), the CRM automatically generates a "High Priority Upsell" task for the account manager, pre-populating an email quote for the replacement part.