AI Demand Forecasting
Forecast future customer demand for all your products
Actionable AI-powered demand forecasting that helps you plan for consumer demand and gain insights on what influences it
4.5 out of 5 stars on g2.com
Trusted by data driven companies such as
Predicting demand effectively is hard:
Some common problems are
Excel breaks for lack of processing power
Forecasting demand in Excel limits the number of data points that can be used, and accuracy
Getting access to all data required is hard
Integrating all the sources (sales, supply chain, events and more) for demand forecasting is hard
Customer behaviours are hard to keep up with
Customers' preferences change rapidly and keeping demand models up to date is hard
Teams use AI Demand Forecasting to:
Arrange a free demoEnhance the accuracy of demand planning
AI identifies complex patterns that human analysts might miss improving accuracy
Anticipate changes in consumer demand
Forecast future trends based on current data, helping anticipate changes in consumer demand
Get access to granular data
Get access to demand forecast at regional, store level ot SKU level to allow for improved planning and decisions
Improve forecast accuracy and explore demand drivers
AI POWERED DEMAND MODEL
Build an accurate forecasts by using AI by considering multiple & varied inputs
Leverage multiple data inputs from various sources and increases exponentially the accuracy of your forecast
Push the data on churn likelihood into your customer-facing systems like your CDP & CRM and target with highly-personalised churn prevention messaging
FUTURE STOCK PREDICTIONS
Analyse all data points from your supply chain to calculate inventory requirements
Analyse demand trends, and all data points from your supply chain to calculate your inventory requirements to meet your SLAs
Push the data on order requirements into supply chain for fast execution
Don’t take our word for it
4.5 out of 5 stars on g2.com
“Before using Kleene it was very difficult to forecast stock demand accurately and we often ended up with quite a lot of money tied up in excess stock”
Milos Jakoubek,
Finance Business Partner
Their main challenge was that the solution they were using did not allow them to take into consideration demand signals. To overcome this, they integrated all demand signals with their ERP systems, CRM, and other data sources using Kleene.ai's technology. This strategic alignment allowed purchasing decisions to be more closely related to actual customer demand, effectively reducing both stockouts and overstocks. The partnership with Kleene.ai not only enhanced their forecasting accuracy but also significantly boosted their cash flow.
Use data to guide your business decisions towards better results
From managing your customer acquisition and retention, to product optimisation; Kleene can help
4.5 out of 5 stars on g2.com
Used by incredible data-driven companies