Hello There! 👋

Welcome to the official Tether Newsletter!

In this inaugural issues, we’d like to share all that we’ve been working on over the last few weeks.

So, if you have any suggestions, just reply to let us know 😊

This issue’s (AI-assisted) poetic motto:

Excel tabs multiply. Forecasts shift. Why chase both, when Tether flips the script? 😉

Feature Spotlight: Inventory Health 🩺

Demand Planner’s Woes:

Constantly worrying that the reorder point has already passed
Manually checking when they’ll be going to stock out at each warehouse
VLOOKUP’ing baseline vs updated forecasts to see what changed over time

It “works,” but it’s reactive, time-consuming, and easy to miss something.

What We Built to Solve This:

Inventory Health - A real-time, demand-aware health system that eliminates spreadsheets!

Automatic statuses: Out of Stock, Stockout Risk, Reorder Now, Healthy & Overstock
Thresholds auto-adjust based on your consumption forecast
Works for finished goods & components (with BOM awareness)

TLDR: You set the strategy in days. Tether updates the statuses in real time.

What This Means for a Demand Planner’s Job

Instead of spending 6-8 hours/week checking:

Which SKUs are about to run out at which location
If your safety stock settings still make sense
Whether a rush PO needs to be placed

…you open Tether and instantly see:

Which SKUs require action (before they become emergencies)
How inventory changed, based on orders that recently came in
Whether or not your inventory is aligned with demand

Go from “I hope everything’s fine 😬*”* → “I know exactly what to do ✨”

Industry Trend: Days-Based Planning 🗓️

Static “keep 500 units on hand” rules break quickly.

Demand changes. Launch cycles shift. Seasonality bites.

More sophisticated ops teams are moving to days-based inventory:

Set safety stock in days, not fixed units
Reorder points move as consumption moves

Why? because they were over-stocking slow movers & under-stocking fast movers.

Tether auto-magically converts days into real quantities using actual consumption forecasts. So, when demand shifts, your thresholds shift automatically. 🚀

Try It Yourself:

In Tether, go to Inventory → Warehouses → Your Primary Warehouse → Settings
Set Safety Stock = 7 days, Reorder Point to 14 days, & Target Max Coverage = 21 days
Go back to Inventory → Inventory Overview
Click the Generate Consumption Forecast & Generate Inventory Forecast buttons

You’re done 🎉 Each SKU will get categorized into an inventory state & it’s respective coverage + out of stock date will be populated.

Tether in the Field: SF Coffee Festival ☕

Earlier this month, Gary went to the SF Coffee Festival. 🔗 Check out his post here! 🔗

We’ll be sharing more about how Tether serves coffee brands in the coming months, stay tuned!

Other Awesome Updates 🛠️

We shipped a long list of other updates. Here are the ones that matter most:

1. Better Consumption & Inventory Visibility

New Consumption Forecast tab with daily/weekly/monthly modes
Inventory sync from Shopify (not just WMS & 3PL systems)
Better support for virtual bundles with BOM/component handling

2. Integration Improvements

Improved the Shopify, Brewman, BigQuery connectors
More 3PL integrations (Wineshipping, Whiplash, etc)
Improved sync history and error handling

3. Stability & UX Improvements

Faster load times across the entire application
Fixes for leap years, pagination, filters, and modals
Improved reliability for real-time updates made within the platform

Want the full technical release notes? Reply “release notes” and we’ll send the full change log.

About Tether

Tether is the operational intelligence platform for demand-planning and inventory optimization at high-growth D2C/CPG brands. We replace fragmented spreadsheets and manual workflows with unified forecasting, omni-channel sales analytics, proactive inventory health monitoring, and automated planning.

Questions or feedback? Just reply—we read every message.

Know someone who still forecasts in spreadsheets? Forward this to them.

Introducing: The Tether Newsletter — Issue #1