Touchless Demand Forecasting
Recommends adjusted forecasts based on real-time signals.
- Historical sales
- POS or distributor sales
- Weather
- Syndicated sources
Demand shifts, shelf life shrinks, and the window to act closes in hours. Aera senses changes across demand, inventory, and logistics; recommends actions that protect margin and service; and executes them in your systems before the gap reaches the shelf.
The data already exists in your systems. The cost lands in what happens between the data and the action.
Promotions land differently than planned and seasonal spikes arrive early, while the forecast cycle still runs monthly.
A batch that could have been transferred expires in one distribution center while another stocks out on the same SKU.
Demand, inventory, and logistics each see their own piece, and no layer connects those signals into one action.
Aera automates the routine decisions, augments the complex ones, and executes both in real time. F&B teams see the payoff in five areas of the business.
Expiration risk surfaces early, at the material-batch level, with mitigation actions attached: transfer the stock, adjust the PO, target a promotion, or write it off when that is genuinely the best call.
Safety stock recalibrates continuously against real demand variability, and rebalancing moves inventory across the network before a location goes short or long. Overstock and stockouts stop coexisting.
Transfer, timing, and truck utilization are optimized in one recommendation, weighed against remaining shelf life. Fewer unnecessary shipments means lower freight cost and lower emissions from the same network.
Routine decisions run without a planner in the loop, and complex ones arrive as a recommendation with the analysis already done. The role shifts from chasing exceptions to setting strategy.
Accurate demand sensing keeps product available where and when customers reach for it. Higher fill rates protect revenue now and service credibility in the next retailer negotiation.
We now ask, 'What's about to happen, and how do we prevent it — or capitalize on it?' With Aera, we achieved payback in just 90 days.
Prepackaged decision logic your teams can run on day one, tuned to short shelf life, promotional demand, and multi-site networks.
Recommends adjusted forecasts based on real-time signals.
Updates near-term demand forecasts on weekly and daily horizons, then adjusts production schedules, inventory deployment, and replenishment plans.
Recommends increases or decreases to safety stock based on projected demand and target service levels.
Recommends transferring stock from source to destination across a defined group of materials and SKUs, optimized for truck utilization and remaining days of cover.
Recommends stock transfers, PO adjustments, targeted promotions to liquidate excess inventory, and write-offs when necessary.
Surfaces critical exceptions with recommended actions, prioritized by business impact, then proposes mitigation such as expediting production, reallocating inventory, or activating backup suppliers.
Also relevant to F&B operations: Stockout Prediction and Prevention, Efficient Shipping, Logistics Event Management, CO2 Emissions Management, Sustainability Measurement
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