Demand Intelligence Suite

Learn from Your Data

AI powered dynamic pricing

Now more than ever, you must track new trends and patterns in product demand, customer preferences, and marketplaces.

The Data Intelligence Solutions improve and accelerate decision making.
Three core capabilities can be deployed in less than 6 weeks.

Price-Right AI continues to learn from your customers’ purchasing behaviors so your sales teams will always have the most up to date, optimized prices at their fingertips.

Trends Discovery

Interpret/explain past results. Use trend insights to forecast and plan more effectively.

Outlier Discovery

Uncover hidden correlations in any set of structured data, including Excel spreadsheets.

Outlier Discovery

Identify atypical data to discover root causes and get alerts sent to your workflows.

It's at the heart of everything we do.

AI Augmented Workflows

Supply Chain Demand Planning, Demand Sensing, Price & Promotion Optimization

Don’t rip out and replace your existing workflows!

Augment what you have with AI- when & where you need it!

Leverage your data for better decision making

5% higher revenue from the same inventory
15% increase in sales revenue
Improved forecast accuracy to 93% on a 60 day horizon
25% reduction in inventory levels without affecting revenue
10% increase in revenue
99% average prediction accuracy achieved

Demand Prediction Use Cases

Customer Segmentation & Demand Forecasting for a Global Heavy Equipment Rental Company

This business was struggling with unpredictable customer rental cycles, return date variability, and “available-to-rent” quantity per site. A2Go developed an AI solution that was used to classify customers into segments based on pricing preferences and rental patterns. It was then possible for the decision-makers to forecast sales and services and establish sales and services priorities aligned with the goal of optimizing revenue.5% higher revenue from the same inventory

End-to-End Inventory Allocation Optimization for a Global Beverage Supplier

This company is responsible for sourcing and managing beverage ingredients globally, and was challenged to optimize its inventory size and composition per location to reduce waste and storage costs. It asked for assistance in optimizing its stocking strategy for every SKU per storage location.

Using machine learning, we shifted this company’s organizational focus on local storage optimization to a global, end-to-end storage optimization model by consolidating disparate datasets and automating the company’s routine analysis.

25% reduction in inventory levels without affecting revenue

Customer Lifetime & Purchase Prediction for a Global Online Fashion Retailer

This company wanted to improve the effectiveness of its annual marketing plan and its execution. They did not have tools to precisely predict customer behavior and data problems prevented decision makers from developing a strategy to introduce personalization features to their customer experience.

A2Go developed a customer-lifecycle value AI solution to provide accurate predictions of when each customer was likely to make his/her next purchase and how many purchases a given customer will make in a specified sales period. With such a high prediction accuracy, decision makers were able to create optimized sales strategies to increase revenue.

99% average prediction accuracy achieved

Granular Demand Prediction to Optimize Revenue per Region for Global Electronics Distributor

This company was challenged to understand its global demand for each product in each country. Demand in individual countries varied, and pricing was elastic and could collapse as demand volumes grew. AI was applied to accurately predict demand in each market, allowing for better control of profit-optimization efforts.

Using an AI solution, an analysis of internal datasets enabled the decision-makers to define country-specific sales strategies that optimized logistics costs and drove global sales optimization.

10% increase in revenue

Demand Prediction for Physician Orders for a Global Pharmaceutical Company

This company was having difficulty with its sales force productivity and was looking for changes that could be made to improve their market coverage strategy and product offerings to improve the success of their sales force.

An AI Solution using purchase history data from doctors and pharmacies along with external data providing context to the purchase history, allowed for an optimized customer segmentation plan and demand for products in the various markets. The sales force better understood their customers in terms of when, where and what to sell to each customer segment.

15% increase in sales revenue

Granular Regional Sales Prediction for Brazilian Quick Service Restaurant

A quick-service restaurant chain in Brazil with over 1,000 locations needed to improve efficiency within its operations, marketing, and sales. Innaccurate sales forecasts were driving increases in waste and/or materials shortages that were combining to increase costs while reducing revenues.

A2Go developed an AI demand prediction solution to predict 30- and 60-day sales numbers for the company’s major products. The solution was used to understand primary demand drivers related to advertising spend and regional pricing data in order to identify patterns essential to providing demand granularity at the regional level.

Improved forecast accuracy to 93% on a 60 day horizon