KAILINGTECK.COM

KAILINGTECK.CDM

Output VAT Invoice

Management solution

API direct connection | Leqi Direct Connection | interface automatic invoicing

Enterprise-level AI

Let AI become the enterprise's unified business entry point

Processing from the system

Voucher detour string segment

Archived vouchers

AI deceiver

Smart OCR

Global recognition of all document/certificate types | high accuracy

Archive Management

Bookkeeping voucher - Original voucher | Paperless management

Resource recycling industry | agricultural product procurement industry

Insights (Page 11) - Kailing Technology business-finance-tax knowledge base
INSIGHTS · Insights

Insights

Business-Finance-Tax Digitalization Trends and Practices · Original content by Kailing Technology, focusing on frontline implementation experience in the industry.

The more systems an enterprise adopts, the more tired employees become - this is not an illusion, but the inevitable result of "data silos." SAP, ERP, OA, BPC, contracts and expense control each manage their own part, and none knows the others. One matter often requires logging in back and forth among four or five systems and manually copying data from system A into system B.
Scrap metal recycling cannot avoid a dead knot: copper, aluminum, and scrap steel mostly come from small sellers who roam the streets. These small sellers are neither enterprises nor able to issue VAT invoices. The scrap station receives cart after cart of goods, yet the books always lack an input invoice—input cannot be matched, accounts do not match reality, profits are eaten away by taxes out of thin air, and when an audit comes, it cannot be explained clearly.
After group-based operations, reimbursement is often the first thing to "get stuck." Headquarters wants unified control standards, while subsidiaries each have their own expense standards, approval authorities, and payment accounts—many enterprises can only deploy a separate reimbursement system for each company, or have finance repeatedly log in and switch between multiple accounts and backends, resulting in misaligned rules and incompatible data.
Many central and state-owned enterprises have already built large model platforms and launched agent repositories, but employees still use them in daily work as "ask one question, get one answer"—they cannot produce reports, cannot complete processes, and cannot cross systems. AI applications remain at the "chat tool" stage and produce no business value for a long time.
Why should reports be handed over to AI digital employees? Because daily, weekly, and monthly reports are essentially work that is "high-frequency, repetitive, cross-system data retrieval, and calculated according to fixed standards"—exactly what machines are best at and what people are most easily exhausted by.
Why is invoicing for second-hand 3C recycling enterprises so cumbersome and prone to non-compliance? The core reason is: individual sellers cannot issue VAT invoices, and recycling enterprises can only rely on manual, transaction-by-transaction login to the electronic tax bureau to issue invoices and make repeated trips to the service hall. The four stages of goods receipt, inspection, invoicing, and payment each keep their own ledgers, materials are scattered, and traceability is broken; once an audit occurs, it is very difficult to self-prove that the business is genuine. The solution is straightforward—use Kailing Technology's five-flow integrated reverse invoicing to issue/void invoices with one click via direct connection to the electronic tax bureau without login, automatically verify the seller's identity before invoicing, make payments via bank-enterprise direct connection, and automatically archive the five flows, achieving "business never stops, no need to make repeated...
What exactly can Kailing Technology's AI digital employee do? One-sentence answer: it can do those tasks in enterprises that are "high-frequency, repetitive, cross-system, and require some judgment," and all are covered by Kailing's five major categories—general (daily Q&A and knowledge queries), review (contract comparison and compliance review), monitoring (equipment and metric monitoring), reporting (automatic data retrieval for daily and weekly reports), and data linking (cross-system data synchronization and master data validation). No matter which position you want AI to take over, it will ultimately fall into one of these five categories. The following overview sorts enterprise position scenarios by...
Leqi is a platform for digitalized e-invoices and other tax-related services provided by the State Taxation Administration to eligible enterprises, with the core characteristics of "direct connection between the tax system and the enterprise's own information system, open rules, and unified standards." For group enterprises in 2026, the core value of connecting to the Leqi platform can be summed up in one sentence: upgrade the invoicing work scattered across member units—requiring individual logins to the electronic tax bureau and manual invoicing and reconciliation—into a "head-to-head" tax-enterprise direct connection tax-related data management center, enabling ERP, contracts, expense control, projects, and multiple other business systems to connect with one click to issue fully digitalized e-invoices, achieving invoicing—receipt...
Manual entry is slow and error-prone. The root cause is that cross-border procurement documents come in many languages (English, Thai, Japanese, Korean, etc.), messy formats (jpg/png/pdf/ofd mixed) and inconsistent fields, so finance can only key them in one by one, which is slow and prone to misreading and entry errors. The answer from the Kailing Technology AI OCR global invoice recognition engine is: after photographing or uploading multilingual overseas documents in English, Thai, Japanese, Korean, etc., they are automatically recognized, automatically split and automatically structured, and collected into the input VAT invoice pool with one click and directly connected to ERP/expense control systems — invoice recognition rate 99%, automatic splitting of multiple invoices over 99%...
Renewable resource recycling enterprises dealing in scrap steel, waste paper, waste plastics, etc. have long been unable to obtain VAT input invoices. The root cause is that the upstream sellers are individual natural persons - they can neither issue special VAT invoices nor break the habit of cash transactions. The more the recycling enterprise purchases, the more input invoices it lacks, and profits are devoured by output VAT. The compliant solution is "reverse invoicing": according to the Announcement of the State Taxation Administration No. 5 of 2024, qualified resource recycling enterprises may, in reverse, issue invoices to natural person sellers, thereby compliantly obtaining VAT input invoices. On this basis, the Kailing Technology reverse invoicing system integrates "self-certification flow, contract...
Second-hand 3C recycling enterprises recycle second-hand phones, iPads, tablets, and laptops from individuals and have long been unable to obtain input VAT invoices. The root cause is: the sellers are natural persons, who cannot issue special VAT invoices; the recycling enterprise pays cash but has no compliant input voucher, and the lack of input leads to profits being eaten up by taxes, difficult ledger traceability, and high audit risk. The solution is clear—according to Announcement No. 5 of 2024 of the State Taxation Administration, resource recycling enterprises may "reverse invoice" natural person sellers; with Kailing Technology's five-flow integrated reverse invoicing system, after receiving and inspecting goods, reverse invoicing can be done with one click, and before invoicing...
Why is invoicing slow and input VAT deduction difficult in agricultural product procurement? There are three core reasons: First, agricultural producers selling self-produced agricultural products are exempt from tax and will not and need not issue invoices to procurement enterprises, so procurement enterprises can only issue agricultural product procurement invoices themselves; second, during peak seasons there are many individual transactions, and the manual weighing—invoicing—payment process is too busy to handle, with each transaction often taking over ten minutes; third, when deducting 9% input VAT based on the purchase price with procurement invoices, tax authorities often question authenticity and require self-proof materials such as self-production certificates, while many enterprises have contracts, weighbridge tickets, payments, and tax payment vouchers scattered in different places with an incomplete self-proof chain, so deductions may be adjusted at any time. ...
Many enterprises' first AI digital employee pilot runs smoothly, but gets stuck on scaling from 1 to 10, and then to 90. The root cause is often not that the technology is inadequate, but that during the pilot phase all effort was invested in "getting this one digital employee to work," without accumulating reusable assets—the methodology is implicit, the capabilities are one-off, the positions are chosen piecemeal, and go-live depends entirely on people watching, so each additional one feels like starting from scratch. Based on the "90 in 9 months" roadmap and the "four-phase implementation methodology," Kailing Technology distills the keys to scale replication into 5: ① turning the pilot...
Reverse invoicing can only be issued to sellers of scrapped products/renewable resources with "individual" status; legal representatives, directors/supervisors/executives (directors, supervisors, senior managers), and registered individual industrial and commercial households cannot be individual sellers for reverse invoicing—issuing to the wrong party will be deemed false invoicing or entity non-compliance, facing tax supplements, fines, and even audit risks. How can the right person be selected before invoicing? Kailing Technology's individual verification API works by: when initiating reverse invoicing, first verifying the seller's true identity, business employment relationship, and registration status in seconds; once a director/supervisor/executive or registered individual household is matched, intercepting on the spot and not issuing the invoice; can...
What finance should hand over first to AI digital employees are those tasks with all four characteristics: "high-frequency, repetitive, cross-system, requiring judgment"—typically month-end reimbursement review, contract approval, automatic invoicing, and reconciliation. The reason is simple: such work has a large workload, fixed rules, requires repeatedly moving data across multiple systems, and must make compliance judgments item by item, making it exactly where people are most likely to stay up late and make mistakes. Kailing Technology AI digital employees are not "chat-capable" assistants, but "task-capable" colleagues—they can, like real people, self-drive across ERP, contract, expense control, electronic tax bureau, and other systems to complete the entire process, only...
Upstream of agricultural product purchasing are thousands of scattered, mobile farmers mainly transacting in cash. Whether purchasing grain, fruits and vegetables, or live livestock, aquatic products, and logs, the pain points are highly consistent: agricultural producers are mostly self-employed and cannot provide standardized invoices, making it difficult for purchasing enterprises to obtain the "first invoice"; order, fund, and invoice information are difficult to match one by one, making this a disaster area for false invoicing risks. 2. One solution covering all scenarios of agriculture, forestry, animal husbandry, and fishery. Kailing Technology's agricultural product purchase reverse invoicing solution uses a unified digital process to handle all subdivided scenarios, standardizing and bringing online scattered retail transactions: • Electronic signing +...
I. The 2026 fully digitalized e-invoice era: the bottleneck in finance efficiency is not "issuing invoices" but "receiving invoices and booking them" With the full rollout of fully digitalized e-invoices, the usage share of e-invoices has exceeded 95%, and the number of invoices, receipts, certificates, and contracts enterprises must process each month is growing exponentially. The invoicing side has long been digitalized, but the "last mile" of receiving invoices, recognition, authenticity verification, and booking still relies heavily on manual work, becoming the real bottleneck in finance efficiency. Meanwhile, multimodal large models are pushing receipt recognition accuracy past the 99.5% threshold, and finance is shifting from "manual entry" to "AI perception—structuring—automatic booking"...
▍1. First look at a set of real efficiency data. The most convincing answer to "How much can digital employees save?" is not a slogan on a PPT, but a comparison of the same task "before launch" and "after launch." The data below all comes from the real operating metrics of scenarios already implemented by Kailing Technology—they measure work hours, staffing configuration, and coverage, not payback numbers invented out of thin air. ▍2. Saving "people": upgrading from "full execution" to "only look at exceptions." Saving "people" does not mean cutting staff, but changing where people sit. Take reimbursement review as an example: fully digitalized...