Question 1

What makes BetterLogiq different from other demand forecasting tools?

Accepted Answer

BetterLogiq uses a proprietary machine learning algorithm and multi-step process that utilizes state-of-the-art ML/AI models coupled with our teams' decades of forecasting experience to generate product-level forecasts at scale. We continuously innovate and integrate the leading-edge technology into our application and into your forecasts.

Question 2

How does BetterLogiq protect my company's data?

Accepted Answer

BetterLogiq is SOC 2 Type II attested with isolated data storage, strict security policies, continuous monitoring through Vanta, and native AWS security controls. BetterLogiq also offers the option for full isolation with single-tenant deployment.

Question 3

What kind of data does the tool accept?

Accepted Answer

At a minimum, the tool requires historical demand/sales data at the same time granularity to be forecast. Categorical data like product category, geography, and warehouse location can also be added. Product-specific data such as promotional periods can be uploaded as well.

Question 4

What time granularity is possible in BetterLogiq's tool?

Accepted Answer

Many clients find monthly data to be granular enough for planning, however, we can generate forecasts at the weekly or daily level too, provided you have historical data at the same granularity.

Question 5

What is the typical improvement in forecast accuracy?

Accepted Answer

Some customers have seen more than a 50% increase in forecast accuracy across their universe of products. Typically, we find significant improvement both in aggregate and at the product level over competing tools.

Question 6

How does BetterLogiq's pricing work?

Accepted Answer

Our pricing depends on a number of factors including the number of products, the time granularity, the forecast horizon, and more. Our customer care team can walk through your specific use case.