Two Numbers First — Then Decide Whether to Keep Reading
Salesforce's 2026 State of Sales report (surveying over 1,000 sales professionals) includes a telling comparison: 87% of sales organizations are already using some form of AI; over the past year, 83% of sales teams using AI saw revenue growth, versus 66% for teams that don't.
The other number comes from the buyer side: a Forrester enterprise buying survey released in January 2026 found that 94% of B2B buyers used AI during the purchasing process.
In other words, your peers are using it, and so are your customers. The question in 2026 is no longer “should I use AI” but “where do I use it, and how do I use it without wasting time.” If you sell to factory customers, AI is worth bolting firmly onto four stages of your work.
Stage One: Finding Leads — Let AI Query the Database Instead of Guessing Keywords for You
The traditional way to build a factory list: you think up keywords yourself, page through directories, stack on filters — half an hour minimum per round, and you start from scratch with every new category.
The right way now is conversational search: you speak plainly, and the AI queries the database. Type “find factories in the Yangtze River Delta that make automotive interior trim, ideally with IATF16949” into Tianxia Gongchang AI, and it narrows down as it asks — working over a database of 4.8 million real factories in active production — first telling you how many such factories there are and where they cluster, then asking whether you want the door-panel side or the instrument-panel side, and a few turns of conversation later the list is out.
What matters at this stage isn't how smart the AI is, but what database it queries. Use a generic company-information database to find factories and your list comes back mixed with traders and shell companies; use a database of real factories in active production, and every call you make reaches an actual workshop.
Stage Two: Account Research — Ten Minutes to Size Up a Factory Before Deciding Whether to Call
Once the list is in hand, the veteran habit is to check each company one by one: website, job postings, court records, expansion news. Researching one factory properly takes half an hour; fifty factories is a week.
This is work AI does fast and cheap. Drop a target factory's name into any mainstream AI assistant and have it summarize the company's main products, recent developments, and hiring activity — a briefing in minutes. HubSpot's 2025 survey says salespeople using AI for customer research save an average of 1.5 hours per week — in our experience, for industrial customers the number is only higher, because factory information is more scattered than that of consumer companies.
One practical reminder: spot-check what the AI summarizes. In that same Forrester survey, 20% of buyers reported lower decision confidence because AI gave them unreliable information. For the key facts in your account research that affect your quote and your pitch — capacity, certifications, ownership changes — go verify the original sources yourself.
Stage Three: Outreach — Personalized Openers, Produced in Bulk
Reply rates on mass-blast templates get grimmer every year — you don't need data to know that. What AI changes is the cost of personalization: writing a custom opener for every factory used to be a luxury. Now, feed your account research briefing to the AI and have it write openers around concrete facts like “they recently expanded their injection-molding capacity” — fifty in a batch, each one different.
Mind two red lines. First, the facts in the opener must come from account research you've verified; AI-invented lines like “your company is thriving” read fake at a glance. Second, AI drafts, you give final sign-off — especially on sentences involving quotes and commitments. Gartner predicts that by 2028, 60% of B2B seller work will be done through conversational AI interfaces — but the one signing on the dotted line is still you.
Stage Four: Review — Turn Follow-up Records into an Asset
For most salespeople, customer follow-up records are a running log written for the manager. AI gives them compounding value for the first time: capture your call notes, WeChat exchanges, and visit summaries, then have AI review them regularly — which industries' customers move fastest, which types of openers get replies, which customers have gone quiet for three months but whose original blocker has since changed and are due for a follow-up call.
McKinsey's November 2025 global survey delivered a stinging conclusion: 88% of organizations are using AI, but only 6% are getting significant value from it — the gap isn't in the tools, it's in the process. For an individual salesperson, process means whether these four stages are actually chained together — leads feed account research, research feeds your pitch, your pitch feeds review, and review in turn refines your criteria for finding leads.
Start with the First Stage
Of the four stages, the fastest payback is the first. Finding leads is pure grunt work — the stage AI replaces most completely — and a good list is the foundation for the other three: however detailed your account research and however sharp your pitch, if the list is wrong it's all wasted.
Open https://www.tianxiagongchang.com/ai, describe the factory customers you're looking for in one sentence, and get this week's call list done first. The other three stages will follow naturally.