In the glass and ceramic supply chain, many sales are tied to specific projects—be it a hospital renovation, a solar array, or a new manufacturing plant. Yet tracking sales and margin performance at the project level has been cumbersome. AI is now enabling distributors to monitor and manage project-based sales with precision.
Why Project-Level Tracking Matters
Typical challenges include:
Mixed SKUs across multiple orders and timelines
Lack of clarity on total sales volume or profitability per project
Difficulty forecasting replenishment when schedules shift
Without detailed visibility, distributors may oversupply one job while underserving another—or miss opportunities for cross-sells and upsells.
AI for Project Sales Attribution
Modern AI tools analyze sales orders, shipping data, job-site delivery tags, and CRM notes to:
Group Sales by Project Automatically: Even when POs are split or unordered.
Forecast Future Demand: Based on construction schedules, phase completions, and weather.
Highlight Margin Trends: Tracking profitability across phases or materials.
Distributor Example
A commercial glass distributor working with institutional builders used AI to track 43 concurrent projects across two regions. They identified margin leakage on oversized tempered units due to repeated freight surcharges and implemented zone-based pricing as a result.
Outcome: Smarter Bids and Better Visibility
AI-enabled project tracking allows distributors to fine-tune their quoting, reduce overage stock, and provide more transparent reporting to contractors and GCs—enhancing trust and long-term relationships.
