Alloy.ai Announces New Predictive and Generative AI Features for Consumer Brands Selling Through Retail

Alloy.ai, a software platform that helps consumer brands rapidly sense and adjust to changes in consumer demand and supply chain disruptions, announced the launch of new predictive and generative AI features to help companies overcome the sales, inventory, forecasting and supply chain challenges they are facing due to an uncertain economy and unpredictable consumer demand.

With this new set of features, consumer goods brands can avoid out-of-stocks and OTIF (on-time in full) fines, grow incremental sales, forecast more accurately and achieve full visibility into their finished-goods supply chains. These powerful new analytics features use advanced simulations to predict potential sales and inventory problems, and then prescribe specific actions companies can take to avoid them.

The Alloy.ai application is powered by a data platform that automatically aggregates and harmonizes point-of-sale (POS) data from all of a company’s retail and ecommerce channels, and syncs it with inventory and internal supply chain data from a company’s ERP systems. This gives Alloy.ai’s customers – such as Bic, Crayola, Bosch, Melissa & Doug, SimpliSafe and others – instant visibility into demand and inventory across their own networks and those of their retailers.

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“Before Alloy.ai, we were flying blind, without visibility into inventory levels at our third-party distribution and retail partners’ networks,” said Kayla Harriss, supply chain manager at Valvoline Global Operations. “The Alloy.ai platform brings in and automatically cleans messy inventory data from numerous sources and combines it with data from our own ERP. Now, we can track inventory levels across our entire network to ensure we always have healthy weeks of supply, avoiding costly out-of-stocks with our retail partners and ensuring that consumers will always find our products when they need them.”

On top of Alloy.ai’s core capabilities — such as POS trend analysis, cross-retailer lost sales alerts and promotional impact experiments — Alloy.ai customers can now:

• Proactively identify warehouse stock risks (Video): Predict well in advance whether your warehouse inventory is at risk of low supply, so you can take corrective action. Advanced simulations in Alloy.ai help replenishment teams mitigate warehouse-stock outs with the goal of improving fill rates, shipping on-time, reducing OTIF fines and ultimately minimizing impact to downstream on-shelf availability.
• Make better allocation decisions when supply is constrained: Advanced simulations flag upcoming shortages, identify impacted orders and determine downstream supply positions, enabling an allocation strategy focused on minimizing POS impact.
• Identify opportunities for incremental sales with retail replenishment recommendations: Alloy.ai produces specific, actionable recommendations that show replenishment teams exactly how much additional inventory is needed to pre-empt retail stockouts with clear data-backed insights to persuade retail buyers.
• Get full supply chain inventory visibility: Monitor omnichannel inventory levels and trends across your own warehouses as well as your partners’ retail distribution centers, e-commerce fulfillment centers and stores to get a macro understanding of where product is building up and where it is being depleted.

SOURCE: Businesswire