Talkulate AI CPQ
Talkulate AI CPQ is an artificial intelligence-powered Configure, Price, Quote (CPQ) solution designed to transform the traditional quoting process. It replaces manual configuration and engineering validation with an embedded conversational AI configurator that interviews customers in natural language, extracts requirements, and matches components from a live product catalog. The system validates compatibility mathematically, ensuring every proposed configuration is technically feasible, and then generates a validated quote and bill of materials (BOM) within minutes. The platform is designed for businesses that sell complex, configurable products, such as IT hardware, servers, or insurance fleets. It integrates with existing product catalogs, pricing rules, and CRM systems, enabling sales teams to work without engineering bottlenecks. The tool supports white-label embedding, allowing companies to maintain their brand voice while automating the sales conversation. It also provides traceable reasoning logs, governed quoting rules, and CRM-ready handoffs with full specifications and conversation transcripts. A key feature is the AI's ability to conduct a guided conversation similar to an experienced sales manager, asking clarifying questions and adapting to industry-specific terminology. This leads to higher conversion rates and faster quote turnaround, as demonstrated in a case study where a US server reseller reduced quote cycle time from 1–2 days to minutes and improved first-pass accuracy.
- Category
- AI/ML
- Pricing
- Unknown
Problem solved
Traditional CPQ processes are slow, require extensive manual effort, and often depend on engineering or presales expertise to validate configurations. This leads to delayed quotes, lost deals, and scalability issues. Talkulate AI CPQ solves this by automating the customer interview and configuration process, ensuring technical accuracy through live catalog validation, and delivering quotes in minutes instead of days.
Use cases
- Server and IT hardware configuration and quoting
- Fleet insurance quoting with complex underwriting rules
- Embedding AI configurator on e-commerce websites for B2B sales
- Automating lead capture through conversational AI interviews
- Generating validated quotes for configurable products with compatibility constraints
- Reducing dependency on engineering for quote approval
Audience
- Business Users
- Enterprise
- Startups
- Product Managers
Pros
- Reduces quote cycle time from days to minutes
- Ensures 100% compatibility accuracy through live catalog validation
- White-label embedding maintains brand consistency
- Conversational AI captures qualified leads directly
- Provides traceable reasoning for every component choice
Cons
- Requires integration effort with existing catalogs and CRM systems
- Pricing details not publicly disclosed
- Effectiveness may depend on the quality and completeness of the product catalog data
- Limited to industries with well-defined configurable products
- AI conversational model may require training or tuning for specific domains
Official website: https://r-sun.ai/products/talkulate-ai-cpq
Canonical LambdaBase page: https://www.lambdabase.com/tools/talkulate-ai-cpq