Company's Solutions

Solution

To help plan for different scenarios, Curve provides simulations and actionable insights that enable retailers to optimize their stock, marketing, and pricing strategies to achieve their goals. Curve's forecasts serve as a basis for decisions and cross-company planning for Sales Managers, CFOs, Supply Chain Managers, Marketing, and e-Comm Managers.

Our solutions include the following capabilities:

1. Sales Prediction & Inventory Optimization: Know what sells, where, and when. Avoid over or understocking.
2. Lead Scoring: See which of your leads are most likely to convert successfully, and when. Prioritize accordingly.
3. Credit Default Prediction: Identify customers’ level of risk based on their payment history. Simulate the optimal deal through various parameters.
4. Dynamic Pricing: See what makes your customers tick. Present the best price on each occasion to maximize profitability.

Who can benefit from Curve?

Retailers, Distributors, E-Commerce merchants, and Manufacturers

Prominent Case Study

Lead scoring prediction case study

About

In this use case, we supplied a lead scoring prediction in order to maximize sales and plan inventory for one of the largest global hardware manufacturers. This company plans its manufacturing based on sales opportunities; therefore, forecast accuracy is critical for the quantity of stock they hold per product.

Challenges

• Minimize overstock
• Avoid out of stock events
• Prioritize the opportunities for sales reps
• Understand early when a sales opportunity is at risk

Solution

• Identify which sales opportunities are going to be won or lost
• If the lead is predicted to be won, what will be the closing date
• Predict the number of sales per item to optimize manufacturing and avoid overstock or understock.

Using Curve’s predictions, the customer

• Fine-tuned production to fully meet future demand while avoiding overstocking or producing unnecessary items.
• Intervened when strategic opportunities are predicted to be lost
• Used past data and predictions for compensation and benefit plans for the sales reps
• Identify market trends occurring in different segments and sales regions
• Simulate future opportunities to find the best pricing and product mix in order to yield maximal revenue.

Results

We outperform the customer’s internal predictions by 23% saving both out of stock and overstock loss.