Turn traffic into pipeline and prospects into customers
For account executives and sales engineers looking for a solution to manage their insights and sales data
Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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Field Sales+ for MS Dynamics 365 and Salesforce
Maximize your sales performance on the go.
Bring Dynamics 365 and Salesforce wherever you go with Resco’s solution. With powerful offline features and reliable data syncing, your team can access CRM data on mobile devices anytime, anywhere. This saves time, cuts errors, and speeds up customer visits.
Aspose for Spring.Java provides Aspose API samples for Spring.Java.
Aspose for Spring.Java provides usage samples / sourcecodes for the demonstration of Aspose API for Java by extending famous Spring Java PetClinic Sample Web Application.
This extension of "Spring Java PetClinic Sample Web Application" also shows the Integration of Aspose APIs with Spring MVC, JSP and Maven Project.
Latest Release: v1.1
OmniHelp is a cross-platform, browser-independent, tri-pane help viewer built in pure JavaScript and CSS with HTML 4. Some functions (such as help embedding) may in the future be in Java, C, or C++; CSH is fully supported. All code is under the LGPL.
An alternative to the page-chapter-paragraph documentation approach. LivCos allows you to teach the computer the structure of your content, so it can support you in various contexts. Pages will be generated as one of many views on the actual content.