How can enterprises in the finance · professional services industry implement a group tax fully digitalized e-invoice management platform?

Complete interface integration on both sides according to agreed fields; invoicing information is automatically passed in from the business system, invoices are automatically issued, and results are automatically returned; business documents correspond one-to-one with invoices, and manual transcription and backfilling are eliminated; adapt development to the customer's actual business rules, so existing processes need not be modified to accommodate the system; after integration, data on both sides syncs in real time, exceptions trigger automatic alerts, and reconciliation and traceability no longer rely on manual work.

What problems existed before Fuwang Real Estate Brokerage launched input and output invoice management?

Service fees are charged to customers by project or period, with the charging basis tied to contract terms, and invoicing needs raised separately at each project milestone; standard products are designed for general scenarios, while customers' invoicing bases, document flow rules, and existing system data structures each have their own characteristics, so direct application leads to mismatched fields and unworkable processes; personalized requirements are difficult to solve through configuration, and modifying existing business processes to accommodate a general product instead raises overall costs and implementation risks.

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Finance · Professional ServicesInput and Output Management

Fuwang Real Estate Brokerage · Real Estate Brokerage Service Agency

Fuwang Real Estate Brokerage | Group tax fully digitalized e-invoice platform integrated with business systems

Business system integrationTechnical Solution

Verification and duplicate checking certificationCore Capabilities

Enterprise overview

Beijing Fuwang Real Estate Brokerage Co., Ltd. is a real estate brokerage institution providing second-hand housing sales, leasing, and related supporting services.

Business pain points

Service fees are charged to customers by project or period, with the charging basis tied to contract terms, and invoicing needs raised separately at each project milestone. Standard products are designed for general scenarios, while customers' invoicing bases, document flow rules, and existing system data structures each have their own characteristics; direct application leads to mismatched fields and unworkable processes. Personalized requirements are difficult to solve through configuration, and modifying existing business processes to accommodate a general product instead raises overall costs and implementation risks. Manual transcription becomes a fixed cost as business volume grows, and transcription itself is a source of errors.
When data standards differ on the two sides, reconciliation requires manual item-by-item comparison, and problems often surface only at month-end. After the rollout of fully digitalized e-invoices, invoice acquisition, issuance, and archiving all need to link with business systems, and fragmented approaches are no longer sustainable.

Solutions

Complete interface integration on both sides according to agreed fields; invoicing information is automatically passed in from the business system, invoices are automatically issued, and results are automatically returned; business documents correspond one-to-one with invoices, and manual transcription and backfilling are eliminated.
Adaptation development according to the customer's actual business rules, so existing processes do not need to be changed to accommodate the system
After integration, data on both sides is synchronized in real time, abnormalities trigger automatic alerts, and reconciliation and traceability no longer rely on manual work
Ultimately embeds invoicing capabilities into existing business workflows, allowing users to complete all operations within a familiar interface
And enabling both parties' data to have consistent standards and time points, so business analysis and reconciliation are both built on the same set of data