The pain: a batch story split across five systems
A single production batch touches purchasing, the recipe, the production floor, the lab and dispatch. In most mid-sized food companies each of those steps is recorded somewhere different — a purchasing tool, a spreadsheet of recipes, paper production logs, lab PDFs and a shipping system.
That works until something goes wrong. When a supplier flags a contaminated ingredient lot, the team has to rebuild the batch story by hand: which batches used that lot, which finished goods came out of them, and which customers received them.
- Lot numbers retyped between systems, with errors creeping in
- Lab certificates stored as files, disconnected from the batch
- Recall scope decided by best guess, so companies over-recall to be safe
Why it gets worse as you grow
More products, more sites and more customers multiply the number of handoffs. Inventory drifts between locations, production plans are built on stale stock numbers, and audits consume weeks of preparation.
How RZC solves it
R-ERP keeps one record per batch from the moment raw material arrives. The recipe, work order, consumed lots, quality inspections and lab results are attached to that batch, and every delivery points back to it.
Because the record is connected end to end, a recall question becomes a lookup rather than an investigation. R-AI Lite lets planners and quality managers ask in plain language — "which orders from batch 2291 are still awaiting delivery?" — and get the answer from live data.
- Trace forward and backward from any ingredient lot
- Lab results and certificates attached to the batch they belong to
- Production planned against real demand and accurate multi-site stock
Where to start
Most teams begin with batch traceability and quality inside R-ERP, then connect planning and delivery once the batch record is trusted. Because every RZC product shares the same data core, each step adds to the same record instead of creating a new integration.