Skip to main content
Aqeeq Technologies
Logistics & Supply Chain

Demand Forecasts Planners Trust for Perishable Supply Chains

Sahyadri Farms needed forecasts that account for harvest seasons, weather, and farmer variability — not static models that break when reality shifts.

Forecasts that ignore perishable reality

Perishable supply chains punish bad forecasts twice — overstock spoils, understock loses buyers. Planners need models that respect seasonality and surface uncertainty.

The goal is not a prettier chart. It is a planning loop procurement and warehouse teams can operate weekly.

Solution

Our solution

SKU-level demand forecasts with seasonality and weather features, uncertainty bands planners can act on, and explainable drivers behind each prediction.

Outputs hook into procurement — PO recommendations and alerts — so forecasting is an operated planning loop, not a standalone chart.

Reimagining services across logistics & supply chain

Tailored to how each segment moves — efficiency, digital experiences, and operated systems.

Demand planners

SKU-level forecasts with uncertainty bands they can act on weekly.

Procurement teams

PO recommendations and alerts tied to forecast outputs.

Perishable supply chains

Seasonality and weather features that respect harvest reality.

Warehouse & sales ops

One planning loop instead of three conflicting numbers.

Forecasts that respect harvest seasons — not static averages.

Perishable planning at Sahyadri needed SKU-level demand signals that account for seasonality, weather, and farmer variability, then feed procurement instead of sitting in a notebook.

See the forecasting engagement
Demand forecasting for perishable supply chains

How Aqeeq serves logistics & supply chain

Practical answers about how we engage, integrate, and operate in this domain.

We audit sales and seasonality signals, build SKU-level models with explainable drivers, pilot with planners on one category, then wire outputs into procurement.

No. Forecasts support planners with better signals and uncertainty — humans still own procurement decisions and exceptions.

Most engagements start with a focused category pilot in 6–10 weeks, then expand once error rates and planner adoption are proven.

Want forecasts planners will actually use?

Share how you plan procurement today — we will outline features, uncertainty bands, and a pilot category that proves error rates.