Wukong AICRM is oriented to sales teams and customer success teams, putting customer management, sales follow-up, task schedules, enterprise knowledge base and AI dialogue in the same workflow - helping the team understand customer status, automatically generate follow-up actions, and reuse enterprise sales knowledge.
Wukong AICRM, Wukong AICRM, WUKONG AI CRM and 72crm.ai point to the same product.
Wukong AICRM continues Wukong CRM's twenty years of accumulation in customer management and sales processes - it has been downloaded more than 2 million times and serves tens of millions of users - and adds AI capabilities in customer intelligence, task schedules and knowledge bases.
it is bothOpen source, self-hosting customer data base,TooAI CRM out of the box。
The core positioning of Wukong AICRM is "AI sales workbench with customer context". After sales selects a customer in the system, AI can bring in customer information, historical communications, business opportunity stages, task schedules and corporate knowledge base to generate customer judgment and next action.
Integrate information, contacts, follow-up records, business opportunity stages, and task results into one context to generate customer summaries, stage judgments, risk reminders (slow response/missing key people/unclear budget/competitive product involvement) and next-step recommendations.
Automatically extract the "plan to be released next week" and "return visit tomorrow" to be processed, add the person in charge, customer, deadline and reminder method, sort by customer value and risk, and remind the sales or supervisor when key customers are overdue.
Search information by industry, product, problem type and sales stage, generate plans, emails, Q&A, quotation instructions and meeting minutes, indicate the source, and accumulate excellent words and transaction reviews into team knowledge.
When you open the system every day, you will first see the most worthy customers, current status, recent focus and next step suggestions. You don’t have to go through the history repeatedly to know who to contact, what to chat about, and what information to send.
Use AI to identify risky customers: whether they have not been interacted with for a long time, whether service issues have not been resolved, whether renewal tasks are overdue, and arrange return visits and collaborative actions in advance.
See the team's account progress rather than just end-of-month results - why key accounts are stalled, task completion status, at-risk accounts and matters requiring collaboration.
When taking over a customer, use AI summary to quickly understand the background, historical communication, key people, key needs and next steps to reduce handover delays.
Automatically turn communication commitments into tasks and schedules, reducing the need to rely on memory to follow up with customers.
AI automatically organizes customer context, allowing sales to quickly determine customer stages, intentions, and risks.
AI calls the knowledge base to generate emails, plans and words, making sales responses more professional and unified.
See the customer advancement process, task overdues and risk signals, and intervene in key customers in advance.
Excellent speaking skills, transaction cases, objection responses and review results enter the knowledge base and are reused by more salespeople.
Provides an entrance to GitHub open source projects, so enterprises can view the warehouse, follow versions, participate in community feedback and private deployment.
Category interpretation from recording customers to intelligently advancing customers.
Learn more Open sourceFrom open source CRM to AI CRM workbench.
Learn more ImplementationComplete path from pilot to go-live.
Learn moreStart with 10 real customer records and a 7-day trial. See whether AI summaries, follow-up tasks and knowledge answers reduce preparation time and missed actions.