未来3年票务分销管理系统趋势：低代码搭建、多模态交互、智能化管理

// 低代码平台中的票务规则配置示例
const ticketRule = {
  eventType: 'concert',
  distributionChannels: ['online', 'boxoffice', 'partner'],
  pricingStrategy: {
    basePrice: 100,
    dynamicPricing: true,
    maxPrice: 200,
    minPrice: 50
  },
  validationRules: {
    maxTicketsPerOrder: 4,
    ageRestriction: false
  }
};

// 应用规则配置
function applyTicketRule(ruleConfig) {
  // 低代码平台自动生成业务逻辑
  return configureSystem(ruleConfig);
}

// 多模态交互处理示例
public class MultimodalInteractionService
{
    // 处理语音购票请求
    public async Task ProcessVoiceBooking(VoiceCommand command)
    {
        // 语音识别和语义分析
        var intent = await _nlpService.AnalyzeIntent(command.AudioData);
        
        // 执行票务查询和预订
        if (intent.Type == IntentType.BookTicket)
        {
            return await _bookingService.CreateBooking(intent.Parameters);
        }
        
        return new BookingResult { Success = false };
    }
    
    // 处理图像识别购票
    public async Task ProcessImageBooking(ImageData imageData)
    {
        // 图像识别提取活动信息
        var eventInfo = await _visionService.RecognizeEvent(imageData);
        return await _bookingService.CreateBooking(eventInfo);
    }
}

-- 智能票务需求预测查询
SELECT 
    event_id,
    event_type,
    venue_capacity,
    historical_occupancy_rate,
    -- 使用机器学习模型预测需求
    dbo.PredictDemand(
        event_type, 
        venue_capacity, 
        historical_occupancy_rate,
        DAYOFWEEK(event_date),
        seasonality_factor
    ) AS predicted_demand,
    -- 计算推荐票价
    dbo.CalculateOptimalPrice(
        predicted_demand,
        venue_capacity,
        base_price
    ) AS recommended_price
FROM events
WHERE event_date > GETDATE()
ORDER BY predicted_demand DESC;