If I include them, then they are outliers that throw everything off. How should I deal with the holidays that the restaurant was closed for? If I remove them, then the week lengths will not be the same.What can I do to capture "long weekend effects"? Should I included a dummy variable for every Friday that proceeds a long weekend etc?.I think I should include the month of the year as a dummy variable to capture yearly seasonal effects as well. Ma1 sar1 sma1 Mon Tue Wed Thu Day Newyears FamilyDay GoodFriday Easter VictoriaDay CanadaDay CivicDay Further, I'm including the holidays as days with sales equal to zero, so this must throw off the model. I haven't done anything to take into account the effect of a holiday on the surrounding days. The model fit is not very good so far, of course. The difference is that I'm using only Mon-Fri, so my frequency is 5, and I've added dummy variables for all of the days that the restaurant is closed (holidays). I've followed the approach suggested by Rob Hyndman here. My approach has been to use a ARIMAX model to fit the data (using R). Sales are lower in the summer, for example, presumably, in part, because many office workers are taking their vacations. ![]() An example of this: if Monday is a holiday, sales tend to be much lower on the Friday before that long weekend - presumably office workers leaving work early. You might notice that there are sales spikes before or after certain holidays. Furthermore, the presence of a holiday changes the sales pattern in the surrounding weeks (the week before and the week after). There is definitely a weekly pattern: sales tend to peak on Thursdays. The days with zero sales, as you can see above, are the days that the restaurant was closed due to a public holiday (Easter Monday etc.). They are only open on business days - no holidays or weekends - as their primary clients are office workers on their lunch breaks.īelow is what two years of the daily sales time series looks like. *Note: If the customer name and remarks are too long, tap the field and scroll to view.I am trying to model daily sales for a take out restaurant. If "unsync" appears next to an entry in the transactions list, please check your device's "network connection status" to ensure that the order can be synchronized as normal. Customer Phone: Search using the first five digits of a customer's phone number to view related ordersĤ.Transaction Date Range: transaction creation date.Transaction Number: Search for any character (number) to view related orders.You can transaction history using the following terms: "transaction number", "transaction date", and "customer phone”. The refund amount will be calculated on the day when the return is executed Reservation preorder (transaction amount is part of the payment amount)Ĭancellation order/return and exchange orderĬancelation order/return and exchange execution day Reservation preorder (transaction amount is 0) Refer to the table below for the description of each transaction status:Ĭompleted Orders, including the final payment amount for "General Transaction", "Pre-Order Settlement" and "Return Order" Once you have filtered to view only a specific transaction type, you can view related transactions by clicking on the icon at the top of the window. To view a list of transactions filtered by payment status, use the filtering options from the "All Status]" drop-down menu. There are three different statuses for transactions: "Paid", "Unpaid", "Partially paid", and "Refunded". Support is not provided for credit cards, mobile payments, etc. *Note: If you wish to use the "change" feature you must use cash as the payment option. In the menu on the left-hand side, click on Orders.Ĭhoose the date you want to check the daily revenue figures. This makes tracking daily revenue totals and order details easy and convenient. Website claims items are refurbished, bunch of BS, Still waiting for refunds from as far back as February, They charge 20 handling fee for defective merchandise. To apply this and other POS features, please contact our Merchant Success Team.īy using transaction records on the POS app you can view daily revenue amounts and the status of orders.
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