Food safety, yield and traceability depend on decisions made across disconnected systems.
Food factories often have the right data somewhere in batch records, spreadsheets, sensors, lab results, quality forms and sales systems but not in one decision-ready view. That makes deviations harder to catch, recalls slower to simulate, waste and giveaway difficult to control, and export documentation time-consuming.
Connect production, quality, sensor and sales records around one line or product to improve traceability, deviation review and planning. Staff validate audit evidence and retain food-safety, batch-release and recall decisions.
Dairy, beverage, bakery, canned-food, cold-chain and export-oriented food manufacturers in Armenia, Georgia, Turkey and the wider Caucasus.
Start with one workflow, measure it against the current baseline and expand only after the result is visible.
In food manufacturing, margin disappears at the connections between ingredients and formulation, production and quality, the factory and the cold chain, and the product and the export market. We connect your existing factory data, sensors, production records and sales systems to build measurable decision support and automation starting with a focused pilot, not a heavy and ambiguous transformation programme.
Ten connected improvement areas across formulation, production, quality, traceability, maintenance, cold chain and export operations.
Rank formulation options by ingredient cost and laboratory results, with final approval kept with the laboratory.
Compare supplier proposals, monitor prices and score supplier risk.
Recommend production sequences that reduce changeover time, cleaning and waste.
Digitise control points, deviation alerts, corrective actions and audit reports.
Support quality and shelf-life decisions, subject to data availability and validation.
Connect raw materials, production batches and outbound products for mock recalls.
Use computer vision to check dates, barcodes and label versions.
Monitor vibration and temperature for early warnings where sufficient data exists.
Alert on temperature excursions during transport and record shipment conditions.
Extract orders and draft export documents with human review and approval.
Start with one product and one production line. Connect the minimum raw-material, batch and outbound records needed to trace one step back and one step forward, then run a mock recall against the current method.
Start with one line or product and compare the result with the old method using a clear baseline.
Connect existing SCADA, MES, ERP, sensors and files instead of replacing the factory stack.
Keep human approval for food-safety, quality and formulation decisions.
Report data limits, accuracy and risk transparently. The goal is not “zero errors” or automatic savings; it is an observable, measurable system that shows real impact.
Design multilingual workflows and export paths for Armenia, Georgia, Turkey and the wider Caucasus.
Suggested timing: assessment 2–3 weeks · pilot 8–12 weeks · scale-up after value is proven.
Book a free 30-minute discovery call. We will identify which use case is worth testing first and what evidence should decide the next step.
Send us the workflow, problem or idea you want to discuss. We’ll reply within one business day.
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