PredictAlly™ for
Product and Inventory

Solutions built for CPG, Retail, and E-Commerce companies.

Why is it critical to manage product and inventory?

Successfully managing product and inventory is an essential element of financial success. Not only do companies need to forecast demand for hundreds of thousands of SKUs, they also need to account for the product innovation cycle.

According to Nielsen, CPG companies launch an average of 30,000 new products every year, each requiring space on a retailer’s physical and/or virtual shelves.

Although one third of consumers look for new products as they seek to enhance their lifestyle, competition is fierce and the market is selective. Only thirty percent of U.S. launches will grow their sales during the pivotal first two years.

30,000 NPI Annually

Only 33% are Successful

The Challenge we see

Brands with a large SKU count often struggle to accurately forecast and predict demand for new product introductions (NPI), resulting in excess inventory, stockouts, and product obsolescence. 

An incomplete understanding of the variables driving demand—and their relationships to one another—can significantly hamper product success and overall inventory performance. This is an area where the predictive powers of artificial intelligence and machine learning are especially effective, allowing businesses to maintain a proper inventory and improve the associated financial results. 

The VectorScient Solution

PredictAlly™ for Product and Inventory leverages both demand sensing and demand shaping to address NPI and inventory challenges holistically. 

Solution Components

PredictAlly™ provides carefully vetted insights via two distinct paths:

Effective demand planning
for products

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Strategic insights
and measurement

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Effective demand planning for
Existing products and New Product Introductions

We begin by understanding and sensing product demand based on sales history and associated macro and micro factors, incorporating the impact of various demand shaping activities and any investments in promotions, advertising, pricing, and discount strategies. We then measure and integrate the impact of New Product Introductions on demand for existing products, quantifying the cannibalization effect and halo effect. 

Demand predictions for existing products

Demand predictions for new products

Price elasticity for new products

Product lifecycle predictions

Inventory optimization recommendations

A strategic compass for gauging the holistic
performance of your demand management strategies.

Product and Inventory Dashboard

A visualization of supply chain health, including all relevant KPIs that account for various underlying metrics as building blocks. 

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Demand - Supply Equilibrium

Demand-Supply equilibrium shows the alignment between predicted demand and inventory level recommendations, sorted by channel, SKU, SKU category, major B2B customer (Retailer), and warehouse location. 

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Lost Sales

Lost Sales measures areas where sales opportunities are possibly lost and the associated impact on inventory status. 

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Excess Inventory Costs

Excess Inventory Costs shows the split between demand overestimations and inventory management policies to account for long lead times, safety stocks.

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Product Lifecycle

Product Life Cycle shows products in the various stages of growth, maturation, and decline, along with revenue classes.

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