Synth

Name: Synth Introduction Video
Uploaded: 2024-06-14T08:33:04Z
Duration: 1 min 33 s
Description: AI Supply Chain Manager for CPG Brands

Synth

Develop by Synthally Inc

Free plan available

AI Supply Chain Manager for CPG Brands

Inventory data centralisation

Demand forecasting ai

Automated inventory replenishment

Product track and trace

About Synth

Launched Jun 10, 2024

Built by Synthally Inc

Related Categories

Claim Offer

Z Sticky Add To Cart Button

Claim Offer

Sponsored

Keep "Add to Cart" visible, boost conversions. No coding...

Introduction Video

Description

Your AI workforce for inventory clarity, intelligent forecasting, and revenue-aware supply chains.

Built for fast-growing beauty, personal care, and F&B brands, Synth gives you a clear view of sales and inventory across 3PL, DTC & retail channels. Forecast finished goods and components, track COGS, reduce excess stock, and sync campaigns with real-time availability. Run better Klaviyo, TikTok, and Meta Ads — without stockouts or guesswork. Synth helps lean teams stay ahead and move faster. We stay true to our mission of making it easy for five people to manage a billion-dollar CPG brand.

Avoid stockouts & wasted ad spend by syncing campaigns with real-time inventory
Generate accurate demand forecasts for products and components
Proactively automate production schedules & PO planning to save time
Create custom workflows for AI teammates to boost team productivity

Pros

Unifies inventory data from multiple sources
Automates supply chain tasks, saving productive hours
Centralizes inventory data enhancing overall intelligence
Incorporates demand forecasting AI
Automated inventory replenishment
Tracks and traces products/ingredients effectively

Cons

May require time and resources initially to integrate disparate systems
Potential dependency on the app for critical inventory functions
Limited to CPG (Consumer Packaged Goods) market, might not suit all industry types
AI accuracy is dependent on the quality and comprehensiveness of input data
Higher costs may be associated with premium features or scaling usage