A tariff announcement, an inventory imbalance, and an omnichannel demand shift can all land on the same day, across different categories, regions, and teams. Aera senses changes across demand, inventory, pricing, and supply; recommends actions that keep shelves stocked and protect 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.
Overstock builds in one category while another runs empty, across thousands of SKUs and stores, and the gap often shows only after the shopper has walked away.
What sells in-store, online, and via pickup shifts every day, while forecasts stay locked to a planning cycle that cannot keep up.
Pricing, stock, and placement rarely line up across thousands of stores at once, so an activation meant to protect margin can erode it instead.
Aera automates the routine decisions, augments the complex ones, and executes both in real time. Mass merchandising teams see the payoff in five areas of the business.
Forecasts update continuously at the SKU, store, and channel level as in-store, online, and pickup demand shift, so replenishment moves with the signal rather than the planning cycle.
Replenishment acts on real-time shelf and point-of-sale signals, closing the gap between spotting a shortage and fixing it before the shopper notices.
Overstock and stockout signals are connected across stores, distribution centers, and fulfillment centers, with rebalancing moves recommended before excess turns into markdowns.
Pricing, inventory, and placement are checked against the promotional plan before an event goes live, and price changes are weighed against margin, volume, and competitive position.
High-frequency replenishment, pricing, and sourcing actions run without a planner in the loop, so planners and category managers spend their time on the calls that move margin.
Aera was named a Leader in the 2026 Gartner® Magic Quadrant™ for Decision Intelligence Platforms. In the companion Critical Capabilities report, Aera scored among the highest across all four use cases.
Gartner, Magic Quadrant for Decision Intelligence Platforms, David Pidsley, Carlie Idoine, Gareth Herschel, Kevin Quinn, Kjell Carlsson, 26 January 2026. Gartner, Critical Capabilities for Decision Intelligence Platforms, Carlie Idoine, David Pidsley, Kevin Quinn, Gareth Herschel, Kjell Carlsson, 27 January 2026. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. GARTNER and MAGIC QUADRANT are registered trademarks of Gartner, Inc. and/or its affiliates.
Prepackaged decision logic your teams can run on day one, tuned to thousands of SKUs and stores, omnichannel demand, and promotions that run everywhere at once.
Recommends rebalancing actions across the network before shortages reach the shelf, with overstock and stockout conditions identified across SKUs and locations.
Recommends pricing and promotion decisions that balance margin, volume, and competitive position, and flags misalignment with inventory and shelf pricing before events go live.
Recommends adjusted forecasts based on real-time omnichannel signals, with statistical forecasts tailored to existing, new, seasonal, and promotional SKUs.
Recommends sourcing, routing, and fulfillment decisions across the supply network, weighing cost, speed, and risk as tariffs and supplier conditions shift.
How decision intelligence handles inventory imbalance, omnichannel demand, and promotions at scale, with four Skills built for mass merchandising.
What changes when inventory, pricing, and supply decisions run continuously instead of on separate cycles.
The adjacent retail problem with a shorter clock: trend cycles, markdown exposure, and sourcing handled continuously.
