A single product can go from quiet to sold out in a day, across every market at once, while thousands of other SKUs carry on needing their own answers. Aera senses changes across demand, inventory, price, and campaigns; recommends actions that protect availability and margin; and executes them in your systems.
The data already exists in your systems. The cost lands in what happens between the data and the action.
A product can trend and clear regional inventory in hours, long before a replenishment cycle would notice anything had changed.
A single order below the floor price on a marketplace travels, and the positioning it erodes is far harder to rebuild than to lose.
Marketing commits spend on a calendar, supply commits stock on another, and the mismatch only shows up once the campaign is live.
Aera automates the routine decisions, augments the complex ones, and executes both in real time. Beauty teams see the payoff in five areas of the business.
Forecasts run at the SKU, channel, and retailer level and adapt on their own to existing, new, limited edition, and promotional products, so adding a line does not add planning work.
Deployment is optimized across warehouses, DCs, and retailer fulfillment locations, balancing revenue, fill rate, and cost at once, with expedited shipping recommended when that is what the date requires.
Every order is checked against floor prices and commercial agreements across retail, marketplace, and DTC, with the correction recommended and the team that owns it named.
Marketing calendars are evaluated against current and projected inventory before a campaign launches, so a gap surfaces as an adjustable plan rather than as demand you cannot fill.
Routine forecasting, deployment, and exception decisions run without a planner in the loop, so the time goes to the calls that protect margin, fill rates, and retailer relationships.
The costs have been going down and the sales have been growing above the average of the category, because we can maximize much better, more commercial plans.
Prepackaged decision logic your teams can run on day one, tuned to trend-driven demand, multi-channel pricing, and portfolios that run to thousands of SKUs.
Recommends adjusted forecasts based on real-time signals, with statistical forecasts tailored to existing, new, limited edition, and promotional products.
Determines the best source location, destination, channel, material, and date for every stock transfer, and recommends expedited shipping when that is what on-time fulfillment requires.
Recommends pricing corrections when orders fall below margin thresholds, including off-invoice discounts and rebates, and flags which team needs to act.
Recommends adjustments to media spend when supply constraints risk unfulfillable demand, and flags mismatches between campaign-driven demand and available supply.
Built from real operations: Dynamic Cosmetics Stock Deployment was shaped by Estée Lauder’s own challenges in fair-share allocation, competing objectives, and missed expedite opportunities.
How decision intelligence handles trend-driven demand, multi-channel pricing, and portfolio scale, with four Skills built for beauty.
What changes when forecasting, inventory, pricing, and marketing decisions stop running on separate cycles.
Five use cases drawn from work with global CPG companies: demand forecasting, inventory, logistics, order fulfillment, and strategic sourcing.
