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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

The Epicor Predictive Inventory Assistant (PIA) stands out as the pioneering intelligent inventory management solution specifically designed for the automotive aftermarket, offering stocking suggestions informed by collective financial data from similar stores. Utilizing the advanced capabilities of the Epicor content engine alongside AI-enhanced inventory forecasts, PIA enables distributors and manufacturers to uncover revenue potential, safeguard their inventory investments, and minimize the chances of lost sales and customer relationships. This essential market intelligence pinpoints parts absent from a store's inventory that are driving growth in comparable establishments. Moreover, by considering the unique "personality dimensions" of each store, Epicor PIA delivers distinct insights that enhance the inventory intelligence provided by other Epicor offerings. With its AI-driven predictive inventory capabilities rooted in the company’s leading aftermarket content engine, Epicor PIA supports businesses in making informed inventory decisions that can significantly impact their bottom line. As a result, users can expect not only improved inventory management but also a stronger alignment with market demands.

Description

The allure of aftermarket parts lies in their ability to attract car enthusiasts for various reasons. These parts have been a staple in the automotive market for years, whether it’s due to their potential for enhancing performance or their affordability compared to original equipment manufacturer (OEM) options. Aftermarket components can significantly boost a vehicle's performance, while OEM parts assure drivers that they are using components tailored specifically for their cars. The choice between these two options ultimately rests with the car owner, as preferences can vary widely. Many individuals opt for aftermarket and performance options due to the promise of superior enhancements. Designed to meet or even exceed the benchmarks set by manufacturers, these parts can deliver better performance than traditional OEM solutions. At MBGram, they frequently encounter customers eager to elevate their vehicle's capabilities, and for them, embracing performance parts is often the best path forward. Such enthusiasts believe that performance parts not only enhance the driving experience but can also be a reflection of personal style and identity.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Epicor Vision

Integrations

Epicor Vision

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Epicor

Founded

1972

Country

United States

Website

www.epicor.com/en-us/products/ai-powered-applications/predictive-inventory-assistant/

Vendor Details

Company Name

Raletta

Country

India

Website

www.merrchant.com

Product Features

Inventory Management

Alerts/Notifications
Barcoding / RFID
Forecasting
Inventory Optimization
Kitting
Manufacturing Inventory Management
Mobile Access
Multi-Channel Management
Product Identification
Reorder Management
Reporting/Analytics
Retail Inventory Management
Supplier Management
Warehouse Management

Product Features

Business Management

Billing & Invoicing
CRM
Employee Management
Financial Management
Inventory Management
Marketing Management
Order Management
Point of Sale (POS)
Project Management
Purchasing
Scheduling
Time & Expense Tracking
Training Management
Vendor Management

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