diff --git a/src/flash/flash.module.ts b/src/flash/flash.module.ts
index 9903bf5..f8d6f27 100644
--- a/src/flash/flash.module.ts
+++ b/src/flash/flash.module.ts
@@ -1167,7 +1167,87 @@ where 1 = 0`,
       },
       flash_vendas_ai: (args) => {
         return {
-          sql: /*sql*/``
+          sql: /*sql*/`
+            SELECT * FROM (
+                WITH Parametros AS (
+                    SELECT
+                        TO_DATE(\${args.data_venda}, 'YYYY-MM-DD')                              AS dt_ref,
+                        TRUNC(TO_DATE(\${args.data_venda}, 'YYYY-MM-DD'), 'MM')                 AS dt_inicio_mes,
+                        ADD_MONTHS(TRUNC(TO_DATE(\${args.data_venda}, 'YYYY-MM-DD'), 'MM'), -1) AS dt_inicio_mes_ant,
+                        ADD_MONTHS(TO_DATE(\${args.data_venda}, 'YYYY-MM-DD'), -1)              AS dt_fim_mes_ant,
+                        ADD_MONTHS(TRUNC(TO_DATE(\${args.data_venda}, 'YYYY-MM-DD'), 'MM'), -12) AS dt_inicio_ano_ant,
+                        ADD_MONTHS(TO_DATE(\${args.data_venda}, 'YYYY-MM-DD'), -12)             AS dt_fim_ano_ant
+                    FROM DUAL
+                ),
+                Vendas AS (
+                    SELECT n.cod_empresa AS loja,
+                          r.data_referencia AS data,
+                          r.valor_venda AS venda,
+                          0 AS meta
+                      FROM VERDEMAR.TB_FLASH_NODO_RESUMO_VENDA r
+                      JOIN VERDEMAR.TB_FLASH_NODO n ON n.id_nodo = r.id_nodo
+                      CROSS JOIN Parametros p
+                    WHERE n.tipo_nodo = 'EMPRESA'
+                      AND n.ativo = 'S'
+                      AND n.cod_empresa IN (\${args.ctx_user_companies_for_module})
+                      AND (   r.data_referencia BETWEEN p.dt_inicio_mes     AND p.dt_ref
+                            OR r.data_referencia BETWEEN p.dt_inicio_mes_ant AND p.dt_fim_mes_ant
+                            OR r.data_referencia BETWEEN p.dt_inicio_ano_ant AND p.dt_fim_ano_ant)
+                ),
+                Metas AS (
+                    SELECT FNC_CODIGOLOJA(m.loja_ajustada) AS loja,
+                          m.data,
+                          0 AS venda,
+                          m.meta_diaria AS meta
+                      FROM VERDEMAR.ORCADO_METAS_IMPORT m
+                      CROSS JOIN Parametros p
+                    WHERE m.data BETWEEN p.dt_inicio_mes AND LAST_DAY(p.dt_ref)
+                      AND FNC_CODIGOLOJA(m.loja_ajustada) IN (\${args.ctx_user_companies_for_module})
+                ),
+                DadosUnificados AS (
+                    SELECT * FROM Vendas
+                    UNION ALL
+                    SELECT * FROM Metas
+                ),
+                Agrupado AS (
+                    SELECT
+                        d.loja,
+                        SUM(CASE WHEN d.data BETWEEN p.dt_inicio_mes      AND p.dt_ref              THEN d.venda ELSE 0 END) AS v_mes,
+                        SUM(CASE WHEN d.data BETWEEN p.dt_inicio_mes      AND LAST_DAY(p.dt_ref)    THEN d.meta  ELSE 0 END) AS m_mes,
+                        SUM(CASE WHEN d.data BETWEEN p.dt_inicio_mes_ant  AND p.dt_fim_mes_ant      THEN d.venda ELSE 0 END) AS v_mes_ant,
+                        SUM(CASE WHEN d.data BETWEEN p.dt_inicio_mes_ant  AND p.dt_fim_mes_ant      THEN d.meta  ELSE 0 END) AS m_mes_ant,
+                        SUM(CASE WHEN d.data BETWEEN p.dt_inicio_ano_ant  AND p.dt_fim_ano_ant      THEN d.venda ELSE 0 END) AS v_ano_ant,
+                        SUM(CASE WHEN d.data BETWEEN p.dt_inicio_ano_ant  AND p.dt_fim_ano_ant      THEN d.meta  ELSE 0 END) AS m_ano_ant
+                    FROM DadosUnificados d
+                    CROSS JOIN Parametros p
+                    GROUP BY d.loja
+                )
+                SELECT
+                    'Lojas'              AS canalapp,
+                    (loja)               AS cod_empresa,
+                    FNC_NOMEPESSOAS(loja) AS nomeempresaapp,
+                    GROUPING(loja)       AS is_total,
+
+                    SUM(m_mes)                            AS meta_mes,
+                    SUM(v_mes)                            AS mes_atual,
+                    SUM(v_mes) - SUM(m_mes)               AS dif_mes_atual,
+                    ROUND(NVL((SUM(v_mes) / NULLIF(SUM(m_mes), 0)) * 100 - 100, 0), 2)     AS variacao_atual,
+
+                    SUM(m_mes_ant)                        AS meta_mes_anterior,
+                    SUM(v_mes_ant)                        AS mes_anterior,
+                    SUM(v_mes) - SUM(v_mes_ant)           AS dif_mes_anterior,
+                    ROUND(NVL((SUM(v_mes) / NULLIF(SUM(v_mes_ant), 0)) * 100 - 100, 0), 2) AS variacao_mes_anterior,
+
+                    SUM(m_ano_ant)                        AS meta_ano_anterior,
+                    SUM(v_ano_ant)                        AS ano_anterior,
+                    SUM(v_mes) - SUM(v_ano_ant)           AS dif_ano_anterior,
+                    ROUND(NVL((SUM(v_mes) / NULLIF(SUM(v_ano_ant), 0)) * 100 - 100, 0), 2) AS variacao_ano_anterior
+                FROM Agrupado
+                GROUP BY GROUPING SETS ((loja), ())
+            ) x
+            WHERE 1=1
+            --FILTROS--
+          `
         }
       },
       query_vazia : (args) => {