Непонятно, как сопоставлять, когда в ERP у меня есть Подрядчик, Партнёр? Как их сопостовлять по схеме с Б24?
[img]data:image/png;base64,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[/img]
Не знаю, эти ли галки приводят к ошибкам типа:
| Код |
|---|
Было найдено несколько компаний по алгоритму поиска для клиента: Колобок ОАО. Будет пропущен |
Самое интересное, ERP не допиленная, типовая. Почему нет сразу готовой схемы?
Мы же не пилим, "мучаемся", перестраиваем свои процессы под логику ERP, чтобы получать бонусы "автоматической" автоматизации. ЧТобы настройки по умолчанию подходили, и обновления проходили безболезнено.
Есть где-то советы по настройке 1C Коннектор типовой конфигурации ERP 2.5?
