From Farm to Dashboard: One Poultry Producer's Integration Journey
Published by WeCommerce 5 min read
A commercial poultry operation replaced spreadsheets and duplicate entry with a single dashboard connected to scales, feed systems, and Agri Funda market data.
A mid-sized poultry producer in the Highveld was spending hours each week copying numbers from one system to another. Scales, feed delivery tickets, and market prices lived in different spreadsheets and apps. Decisions were delayed, and errors crept in. Here’s how they moved to a single, integrated view without replacing everything at once.
The Problem: Data Everywhere, Insights Nowhere
Production data came from the scale house and feeding system. Procurement and sales used another set of files. Market prices were checked manually on a few websites. Bringing it all together for a weekly meeting meant copy-pasting and re-typing. The result was lag, mistakes, and frustration. The farm knew they had the raw data but couldn’t use it in time.
Step 1: One Source of Truth for Production
WeCommerce helped them connect the scale and feeding equipment to a central database. Daily weights and feed consumption started flowing in automatically. The first win was simple: no more manual entry for those numbers. The second was visibility: they could see batch performance and feed conversion in real time instead of at month-end.
Step 2: Bringing In Market and Procurement Data
Next, live market data from Agri Funda (feed ingredients, poultry prices) was piped into the same environment. Procurement could see when to lock in contracts; sales could time off-take. Because everything was in one place, “what did we pay last time?” and “what’s the market doing now?” were answered from the same dashboard.
Step 3: Reports and Alerts That Actually Get Used
With clean, integrated data, we built reports tailored to their meetings: batch summaries, cost per kilogram, margin trends. Alerts were added for sudden drops in consumption or weight gain so that health issues could be caught early. The same data that used to live in scattered spreadsheets now drives daily decisions and weekly reviews.
The Outcome
The producer cut duplicate data entry to near zero, reduced reporting time by more than half, and improved the quality of decisions because the numbers were current and consistent. The journey was incremental—no big-bang replacement—which kept risk and cost under control.
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