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Then why does it take the sales person at Macy's 15 minutes to look up my order before giving up and just giving me a refund for a poorly fitting sweater I brou
by legerdemain 5y ago
Then why does it take the sales person at Macy's 15 minutes to look up my order before giving up and just giving me a refund for a poorly fitting sweater I brought back?
- unstatedAnswers 5y agoCustomer support is a cost center, so it gets less funding than sales/marketing-oriented projects (route-optimizing here likely has the intention of boosting sales, not necessarily reducing customer shopping time)
- Sharlin 5y agoYes. There’s a reason some of the most often needed groceries are almost always at the back of a supermarket.
- legerdemain 5y agoYes, because that's where the refrigerated warehouse is usually located: in the back of the store, to make it easier and cheaper to restock shelves from behind. By comparison, at least in the US, green groceries are almost never in the back of the store.
- dTal 5y agoI don't understand "cost center". Everything is a cost center except the part where you physically acquire the money. Surely both marketing and customer service are invested money that hopefully increases your customer base down the line? What's the difference? I suspect the real reason that the panopticon is kept separate from the customer is to avoid creeping people out.
- 1MachineElf 5y agoFor Macy's, the 15 minutes you were forced to spend inside the store is a feature, not a bug.
- legerdemain 5y agoThat makes sense! It also takes several minutes just to get someone's attention at the makeup counter or to find a sales person to sell me a bath towel.
- madeofpalk 5y agoIs it? That's 15 minutes of a customer not spending money, and 15 minutes of a staff person dedicated to giving back money to a customer, rather than generating more revenue. I get that its considered a feature to get them into a store, but surely you don't want to optimise for associates not selling things?
- svachalek 5y agoWell, making returns painful leads to less returns, to a certain logic. But it surely also leads to less sales, so I'm not sure which effect is greater.
- 1MachineElf 5y ago>Is it? That's 15 minutes of a customer not spending money, and 15 minutes of a staff person dedicated to giving back money to a customer, rather than generating more revenue. That would be true if the customer service area was isolated inside an empty boring room, but at Macy's, it's out in the open on the store floor and surrounded by merchandise. Waiting in a boring line means eyes that wander to adjacent displays and stands.
- gauravjain13 5y agoWAI. They recognized you, and wanted to you spend more time in the store. /s
- Grakel 5y agoBecause Macy's is a dinosaur living in its last days.
- jcrawfordor 5y agoI think the ultimate cause of this kind of inconsistency is that the panopticon-style correlation of customer data is happening offline in a business intelligence system that has a one-way, stale data feed from various ETLs, while making a return happens in an online system that doesn't get anything back from the analytics system (because the analytics data is too loosely structured and low-quality to feed it back into a line of business system). This kind of dichotomy exists in just about any organization that gets into BI/data science/whatever you want to call it, and it can be absolutely maddening. The state of ETLs and analytics systems, for example, means that we have basically gone back to "overnight batch processing" and a lot of reporting data only becomes available the day after the transaction, since all the ETLs need to run and then whatever analytics system, data-cube assembly or etc. But since the analytics system exists, it is taken as good enough and no one wants to re-implement the functionality in an online, system-of-record fashion. Or another way to put it: the GP says "The second you walk into the store based on your face they can pull up your entire purchase history and contact." That's being pretty generous... most of the time they don't know any of that until an hour or a day later, because it comes from multiple disparate systems (and outside vendors) and importing that data into a data warehouse (in batches) and then correlating it later is far easier to implement, and the dominant method used in this kind of analytics.
- raxxorrax 5y agoWhy improve the service when you make purchases anyway? No unnecessary optimizations. Aggregated data is valuable and it is sold to any other industry. Helps with the slim margins of retail. They also get more pictures of you.
- webinvest 5y agoBecause Macy’s may be going out of business like JC Penny’s and Dillards.