SCLAA WELCOMES NEW NATIONAL PARTNER – QUANTIFUL

Quantiful - (New National Partner)

SCLAA Welcomes New National Partner – Quantiful

Quantiful is the global leader in AI-powered demand planning software for large-scale retailers. It uses purpose-built AI to forecast consumer demand and achieves a far higher level of accuracy than can be achieved with spreadsheets, allowing organisations to automate the fulfilment of much of their inventory.

Deploying Quantiful helps retailers sell more, minimise stock-outs, reduce working capital requirements and maximise their profits. It is a transformative technology that is changing how organisations do fulfilment planning, balance demand and supply and manage their long-term portfolio plans.

To deliver these highly valuable outcomes, Quantiful merges historical sales and inventory data with data on consumers’ buying intent generated from over 90 data sources, including all major social and search platforms. And, as a modern cloud-based system getting the necessary data into and out of Quantiful is easy, helping to reduce the time-to-value to the minimum. Quantiful works closely with all major ERP providers.

Quantiful is based in Auckland, NZ and is committed to growing the local ANZ market with people on the ground to help you get the most out of the technology.

Quantiful has 4 key points of difference:

1. Pinpointing the precise drivers of demand
To generate forecasts, Quantiful can ingest thousands of sales-related data points per product, attributes such as colour, size, cost, discount, etc. The more data Quantiful gets as input, the more accurate and insightful the outputs become. Proprietary sales data can be combined with Quantiful’s external data to identify demand signals that can be trended and understood through a product’s lifecycle.

2. Unlocking the power of external data
Quantiful supports the ability to bring external data sets such as economic, market, social and search into its planning algorithms to improve the quality of forecasts at every stage in the horizon.

3. Multi-time-series forecasting
Quantiful is built on a multi-time series forecasting foundation, unlike many other demand planning solutions. This is ground-breaking as Quantiful takes a ‘whole of portfolio’ approach. This means forecasting the interdependencies of your entire product set, such as cannibalisation and substitution.

4. Forecasting at scale
It’s all well and good being able to create highly accurate forecasts for a small set of products at a single store. However, problems arise when you try to forecast hundreds of thousands, if not millions, of product locations.

Quantiful clients include Farmers (part of the James Pascoe Group of companies) Spark, Silver Fern Farms and TVNZ

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