Built for the floor. Backed by one record. Cloud keeps production, stock, orders, and money on the same record, so the answer to a question is wherever the work already happened.
One record, end to end Plan production, roast against it, receive the output as stock, and invoice the order without re-keying the same facts into a second system.
Origins into products Ribbon width is kilograms roasted
Ethiopia → Single origin: 1,500 kg Ethiopia → House Espresso: 640 kg Colombia → Single origin: 1,100 kg Colombia → House Espresso: 780 kg Brazil → House Espresso: 480 kg Brazil → Decaf: 980 kg Ethiopia 2,140 Colombia 1,880 Brazil 1,460 Single origin 2,600 House Espresso 1,900 Decaf 980 Table view Kilograms allocated from each origin to each product Origin Single origin House Espresso Decaf Total Ethiopia 1,500 640 – 2,140 Colombia 1,100 780 – 1,880 Brazil – 480 980 1,460
Built for a shared operation Roles and access per person, context per site, and created and updated attribution on the record, so changes stay explainable later.
Batches per day Twelve weeks · empty cells are days with no roast
Mon Wed Fri Sun Week 1 Mon: 6 batches Week 1 Tue: 11 batches Week 1 Wed: 9 batches Week 1 Thu: 7 batches Week 1 Fri: 12 batches Week 1 Sat: 3 batches Week 1 Sun: 0 batches Week 2 Mon: 9 batches Week 2 Tue: 7 batches Week 2 Wed: 12 batches Week 2 Thu: 10 batches Week 2 Fri: 8 batches Week 2 Sat: 0 batches Week 2 Sun: 0 batches Week 3 Mon: 12 batches Week 3 Tue: 10 batches Week 3 Wed: 8 batches Week 3 Thu: 6 batches Week 3 Fri: 11 batches Week 3 Sat: 0 batches Week 3 Sun: 0 batches Week 4 Mon: 9 batches Week 4 Tue: 7 batches Week 4 Wed: 12 batches Week 4 Thu: 10 batches Week 4 Fri: 8 batches Week 4 Sat: 3 batches Week 4 Sun: 0 batches Week 5 Mon: 12 batches Week 5 Tue: 10 batches Week 5 Wed: 8 batches Week 5 Thu: 13 batches Week 5 Fri: 11 batches Week 5 Sat: 0 batches Week 5 Sun: 0 batches Week 6 Mon: 8 batches Week 6 Tue: 13 batches Week 6 Wed: 11 batches Week 6 Thu: 9 batches Week 6 Fri: 7 batches Week 6 Sat: 0 batches Week 6 Sun: 0 batches Week 7 Mon: 12 batches Week 7 Tue: 10 batches Week 7 Wed: 8 batches Week 7 Thu: 13 batches Week 7 Fri: 11 batches Week 7 Sat: 3 batches Week 7 Sun: 0 batches Week 8 Mon: 8 batches Week 8 Tue: 13 batches Week 8 Wed: 11 batches Week 8 Thu: 9 batches Week 8 Fri: 14 batches Week 8 Sat: 0 batches Week 8 Sun: 0 batches Week 9 Mon: 11 batches Week 9 Tue: 9 batches Week 9 Wed: 14 batches Week 9 Thu: 12 batches Week 9 Fri: 10 batches Week 9 Sat: 0 batches Week 9 Sun: 0 batches Week 10 Mon: 15 batches Week 10 Tue: 13 batches Week 10 Wed: 11 batches Week 10 Thu: 9 batches Week 10 Fri: 14 batches Week 10 Sat: 3 batches Week 10 Sun: 0 batches Week 11 Mon: 11 batches Week 11 Tue: 9 batches Week 11 Wed: 14 batches Week 11 Thu: 12 batches Week 11 Fri: 10 batches Week 11 Sat: 0 batches Week 11 Sun: 0 batches Week 12 Mon: 14 batches Week 12 Tue: 12 batches Week 12 Wed: 10 batches Week 12 Thu: 15 batches Week 12 Fri: 13 batches Week 12 Sat: 0 batches Week 12 Sun: 0 batches W1 W4 W7 W10 Fewer More
Table view Total batches per weekday across twelve weeks Weekday Total batches Busiest week Mon 127 W10 Tue 124 W6 Wed 128 W9 Thu 125 W12 Fri 129 W8 Sat 12 W1 Sun 0 –
Connected to what you already run Shopify, Stripe, and Xero connections, a keyed API with throttling, and webhooks with retry where the workflow crosses a boundary.
Wholesale pipeline Count at each stage, with step conversion
Leads Leads: 480 480 Samples sent Samples sent: 214 · 45% of previous stage 214 ↓ 45% First order First order: 96 · 45% of previous stage 96 ↓ 45% Repeat order Repeat order: 61 · 64% of previous stage 61 ↓ 64% Table view Wholesale pipeline counts and conversion by stage Stage Count From previous From leads Leads 480 – 100% Samples sent 214 45% 45% First order 96 45% 20% Repeat order 61 64% 13%