Artificial Intelligence offers a transformational shift in revenue management capabilities. Our Sparkwise Solutions team, which includes former members from Google and other leading AI startups, builds AI pricing agents and technologies to optimize and enhance pricing performance. These applications are custom fit to your organization’s needs and are licensed for continued use when/if needed.
Utilizes internal and external data to collect product attributes, material content, Country of Origin and HTS codes, then utilizes these inputs to calculate the impact of Tariffs that changed since the last cost role as well as various user defined scenarios to model various Tariff announcements. The output is SKU level predicted future costs associated with any Tariff scenario. Outputs can be integrated with traditional price determination tools to support pricing scenario analysis and decisions.
Utilizes external data to collect product attributes, material content, Country of Origin and HTS codes, then utilizes these inputs to estimate the impact of Tariffs based on client determined margin, cost roll, and price reaction assumptions. The output is potential predicted future competitive price points. Outputs can be integrated with traditional price determination tools to support pricing scenario analysis and decisions.
AI generated RFP responses based on historical RFP responses and key sales defined criteria. We work with clients to customize Bidmaster for specific offerings. Reduces busy work of writing RFP and focuses sales team on value added inputs to deliver high quality RFP responses in a much faster time frame.
AI recommended pricing for bid quote business based on historical quotes, specifications, and win loss records. Reduces time to respond to quotes and improves quote win ratios.
AI compares contract terms to system terms and invoices identifying invoice errors to reduce costs.
AI monitors competitor prices and competition news available in the public domain. Output includes alerts/warnings of competitive activity and summarized results around competitor’s stated strategies.
Don’t see what you are looking for? Our AI team can assess your needs and develop custom AI applications targeted for your business very rapidly. Typical time to design, build and deploy new AI capabilities is usually 1-3 months.
Ducker Carlisle hosts benchmarking studies dedicated to OEM parts and service spanning multiple global regions. View our benchmarks below.
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