To improve operational efficiency and eliminate delays in quotation generation, a solar EPC provider implemented a real time, AI powered solar quotation and site estimation system. The organization delivers customized solar installations across residential, commercial, and industrial projects, where every deployment varies based on site specific conditions and environmental factors.
Each solar installation required detailed on site evaluation, as system design depends on multiple industry critical parameters such as location, peak sunlight availability, seasonal variation, wind conditions, roof or ground structure, shading analysis, orientation and tilt angle, electrical infrastructure, and load requirements. These variables made every project unique and required expert judgment from site engineers.
Previously, the workflow was highly manual and time intensive. Site engineers would visit the location, assess conditions, and return to the office to share inputs with the engineering and sales teams. The team would then perform manual calculations using spreadsheets to determine system configuration, battery sizing, inverter selection, and cost estimation.
This process was further complicated by constantly changing variables such as material pricing, solar panel availability, inverter options, logistics costs, and site specific installation challenges. Any change in customer requirements, pricing fluctuations, or calculation errors required the entire estimation process to be repeated from scratch.
As a result, generating a single accurate quotation often took 2 to 3 weeks, leading to delayed responses, reduced customer satisfaction, and missed business opportunities.
The solution introduced an AI driven, real time solar quotation system that integrates site level inputs with dynamic calculation and pricing intelligence. During the site visit itself, engineers can input configuration details directly into the system, including load profile, environmental conditions, system preferences, and structural constraints.
A domain optimized calculation engine processes these inputs instantly, determining the most suitable system configuration including solar capacity, battery requirements, inverter sizing, and system efficiencies. The platform is integrated with real time pricing data, ensuring that material costs, component availability, and market fluctuations are always up to date.
The system also incorporates intelligent validation, where AI detects inconsistencies or potential errors in site engineer inputs and suggests optimized configurations based on industry standards and historical data.
This enables instant generation of accurate, customizable quotations on site. Any customer requested changes such as system upgrades, budget adjustments, or configuration modifications can be handled in real time without restarting the process.
Built on scalable cloud infrastructure, the platform transforms a previously manual and fragmented workflow into a seamless, intelligent, and responsive system, significantly improving speed, accuracy, and customer experience.
Results:
Reduced quotation turnaround time from 2–3 weeks to near real time
Eliminated dependency on manual Excel based calculations
Enabled on site quotation generation during initial visit
Improved accuracy through AI driven validation and error detection
Handled dynamic pricing, availability, and customization instantly
Reduced rework caused by pricing changes, calculation errors, or requirement updates
Increased customer satisfaction with faster and more transparent responses
Enhanced sales efficiency and conversion rates through rapid decision making