Data Analysis Projects in New YorkData Analysis Projects in New York
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๐—ฌ๐—ข๐—จ๐—ฅ
Data, AI, Software, Technical Writing ๐—ฌ๐—ข๐—จ๐—ฅ ๐—ฆ๐—”๐—Ÿ๐—˜๐—ฆ ๐——๐—”๐—ง๐—” ๐—”๐—Ÿ๐—ฅ๐—˜๐—”๐——๐—ฌ ๐—ž๐—ก๐—ข๐—ช๐—ฆ ๐—ช๐—›๐—œ๐—–๐—› ๐—–๐—จ๐—ฆ๐—ง๐—ข๐— ๐—˜๐—ฅ๐—ฆ ๐—”๐—ฅ๐—˜ ๐—”๐—•๐—ข๐—จ๐—ง ๐—ง๐—ข ๐—Ÿ๐—˜๐—”๐—ฉ๐—˜. Most owners check that money came in. Few ask what the numbers say about next month. I ran a 90-day Dead Stock Check on Horti Supplies data (about $14,500 in sales). In plain sight: ๐Ÿ‘ค ๐Ÿฒ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐˜๐—ผ๐—ฝ ๐Ÿฎ๐Ÿฑ ๐—ฐ๐˜‚๐˜€๐˜๐—ผ๐—บ๐—ฒ๐—ฟ๐˜€ ๐—พ๐˜‚๐—ถ๐—ฒ๐˜๐—น๐˜† ๐˜€๐˜๐—ผ๐—ฝ๐—ฝ๐—ฒ๐—ฑ ๐—ฏ๐˜‚๐˜†๐—ถ๐—ป๐—ด: about $550 a month walking away. $๐Ÿต๐Ÿฐ๐Ÿฌ ๐˜€๐˜๐˜‚๐—ฐ๐—ธ ๐—ผ๐—ป ๐˜๐—ต๐—ฒ ๐˜€๐—ต๐—ฒ๐—น๐—ณ - 8 products unsold for 30 to 83 days made 2.4% of sales but held 22% of stock value. ๐Ÿ“‰ ๐—ง๐—ต๐—ฒ ๐Ÿฏ๐—ฟ๐—ฑ ๐—ฏ๐—ฒ๐˜€๐˜-๐˜€๐—ฒ๐—น๐—น๐—ถ๐—ป๐—ด ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜ ๐—ฟ๐—ฎ๐—ป๐—ธ๐—ฒ๐—ฑ ๐Ÿฎ๐Ÿญ๐˜€๐˜ ๐—ณ๐—ผ๐—ฟ ๐—ฝ๐—ฟ๐—ผ๐—ณ๐—ถ๐˜. ๐Ÿ•‘ ๐—ง๐—ต๐—ฟ๐—ฒ๐—ฒ ๐˜€๐—น๐—ผ๐˜„ ๐—ฎ๐—ณ๐˜๐—ฒ๐—ฟ๐—ป๐—ผ๐—ผ๐—ป ๐—ต๐—ผ๐˜‚๐—ฟ๐˜€ - brought in 7% of sales; rent and staff costs didnโ€™t drop. ๐—ง๐—ฟ๐˜† ๐˜๐—ต๐—ถ๐˜€ ๐˜๐—ผ๐—ฑ๐—ฎ๐˜† (๐Ÿญ๐Ÿฌ ๐—บ๐—ถ๐—ป๐˜‚๐˜๐—ฒ๐˜€, ๐—ป๐—ผ ๐˜€๐—ผ๐—ณ๐˜๐˜„๐—ฎ๐—ฟ๐—ฒ): export last monthโ€™s sales, sort by profit, and circle anything that earned almost nothing but took up shelf space. ๐—ง๐˜„๐—ผ ๐˜„๐—ฎ๐˜†๐˜€ ๐—œ ๐—ฐ๐—ฎ๐—ป ๐—ต๐—ฒ๐—น๐—ฝ: 1๏ธโƒฃ ๐—ง๐—ต๐—ฒ ๐——๐—ฒ๐—ฎ๐—ฑ ๐—ฆ๐˜๐—ผ๐—ฐ๐—ธ ๐—–๐—ต๐—ฒ๐—ฐ๐—ธ: send one month of sales data (names removed is fine) and get a one-page report on where cash is stuck, which customers are drifting, and 3 actions for this week. ๐ŸŽ The first 10 get it free, in return for sharing the anonymised result as a case study. 2๏ธโƒฃ ๐—–๐—ผ๐—บ๐—ถ๐—ป๐—ด ๐˜€๐—ผ๐—ผ๐—ป, ๐—œ๐—ป๐˜€๐—ถ๐—ด๐—ต๐˜๐—Ÿ๐—ผ๐—ผ๐—ฝ: upload a CSV or SQL export and get a named diagnosis (Customer Churn, Dead Stock, Demand Forecast) plus a visual report. ๐—–๐—ผ๐—บ๐—บ๐—ฒ๐—ป๐˜ โ€œ๐—–๐—›๐—˜๐—–๐—žโ€ ๐—ณ๐—ผ๐—ฟ ๐—ฎ ๐—ณ๐—ฟ๐—ฒ๐—ฒ ๐——๐—ฒ๐—ฎ๐—ฑ ๐—ฆ๐˜๐—ผ๐—ฐ๐—ธ ๐—–๐—ต๐—ฒ๐—ฐ๐—ธ, ๐—ผ๐—ฟ โ€œ๐—Ÿ๐—ข๐—ข๐—ฃโ€ ๐—ณ๐—ผ๐—ฟ ๐˜๐—ต๐—ฒ ๐—œ๐—ป๐˜€๐—ถ๐—ด๐—ต๐˜๐—Ÿ๐—ผ๐—ผ๐—ฝ ๐˜„๐—ฎ๐—ถ๐˜๐—น๐—ถ๐˜€๐˜. Iโ€™m Moses, a data engineer and founder of Closertune. Do you know an owner who says, โ€œSales are slow, but I donโ€™t know whyโ€?
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