SchedulingMulti-location retail
BeforeOne person spending a full week, every week, hand-building delivery routes across stores and a fulfillment backend that didn't talk to the calendar.
AfterScheduling runs off the calendar and the order system directly. The same job takes about five hours a week, and the rest of that person's time went back to customers.
In-store salesMulti-location retail
BeforeA customer spent an hour in the store with an associate, went home to think it over, and that was the end of the record. No follow-up, no way to know whether they bought elsewhere, and no credit to the store when they came back online.
AfterAssociates capture the lead and the cart on the floor, and automation takes it from there: the customer gets their build sent to them, follow-ups run on a schedule, and every purchase is attributed back to the visit. The in-store abandoned cart now converts 40% of the time and accounts for 44% of attributed revenue that was previously invisible.
PurchasingSpecialty e-commerce
BeforeReordering ran on intuition. Twice a week a buyer pulled a slow ERP export into a spreadsheet and decided what to buy from a snapshot of current stock and whatever they remembered about last year. No lead times in the math, no seasonality, no growth trend, and no way to see every SKU at once. Good buyers got it mostly right and still ended up with stockouts on the fast movers and cash tied up in the slow ones.
AfterOne formula covers the whole catalog. For every SKU it combines sales velocity, seasonal curve, year-over-year growth, supplier lead time, open purchase orders, and the days of cover the business wants, then flags what needs ordering and how much. Pre-order spikes and new SKUs are handled instead of skewing the numbers. The buyer still approves every PO, but they review a ranked list built from all the data instead of guessing from a slice of it.
WarehouseSpecialty e-commerce
BeforeWhen a large shipment landed against a backlog of orders, someone sat with the ERP and a spreadsheet deciding which customers got stock. On a big back order that was an entire day, sometimes more, and the rules lived in one person's head.
AfterAn allocation tool applies the business's own priority rules across every open order at once and proposes the split. Staff review and confirm. The same back order is allocated in about five minutes, and the logic is written down where the whole team can see it.
ReturnsSpecialty e-commerce
BeforeReturns negotiated over email, re-keyed into the ERP by hand, labels generated separately, and no single place to see where a return stood.
AfterCustomers start the return themselves, the record and the label are created automatically, and staff review everything in one queue with the conversation attached.
MarketingConsumer brands
BeforeA monthly email calendar that depended on one writer, one designer, and a lot of copy-pasting between documents and the sending platform.
AfterAn in-house studio drafts each campaign from the schedule in the brand's voice, verifies the offers, renders the email, and pushes it to the platform. The team edits instead of starting from blank.
ReportingMulti-location retail
BeforeSales in one place, ads in another, support in a third. Nobody could say which store a customer came from or whether the ad spend was real.
AfterOne reporting layer across storefront, ads, and helpdesk. It caught fraudulent ad spend, attributed in-store visits by neighborhood, and answers in a conversation what used to take a week of exports.