Overview
Name
An eco-friendly agriculture company
Industry
Wholesale & Retail
The agriculture company, specializing in campus catering and agricultural supply chains, faced challenges such as fragmented data from multiple schools, manual errors, ineffective order tracking, and scattered collaboration. By leveraging HAP to build an integrated business management system, the agriculture company unified core data across students, classes, and schools, and streamlined the end-to-end process from ordering to delivery and acceptance. As a result, manpower needs dropped by around 80%, information could be retrieved instantly, and data traceability was achieved, enabling future expansion into nutrition management and food safety scenarios.
Challenge
As The company scaled its campus meal service across multiple schools, inconsistent data standards, error-prone manual reporting, and lack of end-to-end order tracking—from placement to delivery and acceptance—impeded operational efficiency and food safety control. Reliance on phone and WeChat fragmented communication and delayed responses, leaving management without real-time visibility into operations.
Lack of end-to-end order visibility
Without a unified system to track orders from placement through review, picking, delivery, and proof of receipt, status milestones are opaque and exceptions lack timely alerts and resolution. As a result, customer service responds slowly, post-sale disputes rise, and reputation and repeat purchases suffer.
Inconsistent Data Standards Across Multiple Schools
Ordering, shipping, and settlement data from multiple schools use inconsistent standards, with missing fields and conflicting definitions. As a result, data is hard to consolidate and reconcile, hindering cross-campus comparison and centralized management, and driving up data cleansing and maintenance costs.
Manual tallying is time‑consuming and error‑prone
Relying on spreadsheets and manual entry leads to duplicate inputs and cumbersome formula maintenance. During large order volumes or peak periods, omissions, duplicates, and calculation errors are common, delaying reconciliation and shipping and creating operational risk.
Multi-role collaboration relying on phone calls and WeChat
The school, business, warehousing and delivery, and finance teams rely on phone calls and WeChat groups, leaving information scattered on personal devices. Versions diverge, reusable knowledge fails to accumulate, cross‑department collaboration is inefficient, and activities are hard to audit and trace.
Lack of real-time decision-making data for management
Without a unified data dashboard and metric framework, The company cannot monitor key indicators—such as order fulfillment rate, inventory turnover, accounts receivable collection, and category gross margin—in real time, making it hard to detect anomalies promptly and optimize resource allocation and strategy.
Solution
To streamline operations, The company deployed a unified business management system on HAP for Xin Nong Yuan Ecological Agriculture—building a three-tier “student-class-school” data foundation that automates aggregation and calculation, eliminates manual reporting, and covers order placement, warehousing, delivery, and acceptance with real-time tracking, cross-role collaboration, and auto-generated daily/monthly reports.
Daily/Monthly Report Auto-Generation
Automatically generates daily and monthly reports from a unified data foundation, delivers visualized metrics by school, class, and student, and schedules notifications to stakeholders—ensuring leadership has timely visibility into operational and teaching data.
Unified data foundation and multilevel associations
Built a unified data foundation linking Student → Class → School, enabling integrated master data management with standardized definitions. This fully unifies cross-level data relationships, eliminates information silos, and ensures consistent, auditable reporting.
Unified collaboration platform for multiple roles
Provide a unified collaboration portal and role-based access model for school- and class-level leaders and related functions, enabling cross-role information sharing and task coordination. Process-driven workflows advance execution, reduce communication costs, and improve collaboration efficiency.
Automated Summarization and Calculation Replacing Manual Totals
In Nocoly HAP, we configure automated aggregation and calculation rules. The system generates real-time summaries by class and school, replacing manual totals, eliminating human errors, and significantly shortening reporting and turnaround time.
End-to-End Order Tracking
Enable end-to-end order flow configuration for full lifecycle visibility—from creation and approval to execution and settlement—with traceable checkpoints and synchronized statuses. This ensures transparent progress, precise issue localization, and accountable ownership.
Core Value
Process standardization and traceability:Streamlined end-to-end standardized workflows with full audit trails at every node—enabling instant audit and compliance checks.
Query efficiency boosted to seconds:Business queries accelerated from daily to sub-second response times, enabling instant critical decisions and feedback, and significantly speeding up operational responsiveness.
Significant Reduction in Operating Costs:Reduced labor, time, and error-correction costs directly lower unit output cost.
Real-Time Multi-Role Collaboration:Streamlined real-time collaboration across production, quality control, procurement, warehousing & distribution, and finance—zero information latency.
Significant Reduction in Labor Input:Reduced manual effort by 80% through process and data automation, enabling the team to focus on high-value business initiatives and innovation.
Managing Visualization as One Integrated System:Unified visualization of KPIs and process status enables real-time, enterprise-wide visibility for management—enabling precise scheduling and resource allocation.
Zero-Error Data Consistency:Achieved end-to-end, single-source data management—eliminating inconsistent definitions and manual entry errors, ensuring zero deviation in reports and analytics.
