企业电子采购管理系统解决方案:大数据技术实现电子采购系统智能化

// 采购数据分析服务示例
public class ProcurementAnalysisService
{
    private readonly IProcurementRepository _repository;
    
    public ProcurementAnalysisService(IProcurementRepository repository)
    {
        _repository = repository;
    }
    
    /// 

    /// 分析采购趋势
    /// 
    public async Task AnalyzeProcurementTrendAsync(
        DateTime startDate, DateTime endDate)
    {
        var procurementData = await _repository
            .GetProcurementsByDateRangeAsync(startDate, endDate);
            
        // 使用大数据分析算法处理采购数据
        var trendAnalysis = await ProcessProcurementTrend(procurementData);
        
        return trendAnalysis;
    }
    
    /// 

    /// 供应商绩效评估
    /// 
    public async Task EvaluateSupplierPerformanceAsync(
        int supplierId, DateTime evaluationPeriod)
    {
        var supplierData = await _repository
            .GetSupplierPerformanceDataAsync(supplierId, evaluationPeriod);
            
        // 应用机器学习模型进行供应商评分
        var performanceScore = await CalculateSupplierScore(supplierData);
        
        return new SupplierPerformanceReport
        {
            SupplierId = supplierId,
            PerformanceScore = performanceScore,
            EvaluationDate = DateTime.UtcNow
        };
    }
}

// 采购推荐算法实现
class ProcurementRecommendationEngine {
  constructor() {
    this.similarityThreshold = 0.7;
    this.recommendationLimit = 5;
  }

  /**
   * 基于协同过滤生成采购推荐
   */
  generateRecommendations(userId, procurementHistory) {
    const similarUsers = this.findSimilarUsers(userId, procurementHistory);
    const candidateItems = this.collectCandidateItems(similarUsers);
    
    // 应用排序算法对推荐结果进行优化
    const rankedRecommendations = this.rankRecommendations(
      candidateItems, userId
    );
    
    return rankedRecommendations.slice(0, this.recommendationLimit);
  }

  /**
   * 计算用户相似度
   */
  calculateUserSimilarity(user1, user2, procurementData) {
    const commonItems = this.getCommonProcurementItems(user1, user2);
    if (commonItems.length === 0) return 0;
    
    // 使用余弦相似度算法
    const similarity = this.cosineSimilarity(
      this.getPurchaseVector(user1, commonItems),
      this.getPurchaseVector(user2, commonItems)
    );
    
    return similarity;
  }
}