Batch Planning vs. Agile Supply

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🌀 Batch Planning vs. Agile Supply: Why the Smartest DTC Brands Are Shipping on Signal, Not on Schedule

DTC logistics used to be about buying in bulk and hoping the forecast was right.

Today, it’s about velocity over volume, about responding to demand in motion, not predicting it in spreadsheets. Because the brands that win now aren’t planning further out… they’re turning faster.

Batch Planning Is the Slow Death of Creativity

The old model looked like this:

• Predict Q3 demand in Q1
• Lock 10K+ units into ocean freight
• Wait 60–90 days to see what hits

It’s slow, risky, and brutally expensive if you guess wrong. You either sit on dead stock, or worse, go out of stock right when your campaign pops.

Batch planning punishes creative momentum. And in a post-iOS world, creativity is your momentum.

Meet the AFS Loop: Agile Fulfillment for Scale

Here’s the model the best brands now run:

AFS Loop = Demand Signal → Rapid Production → SKU-Level Shipments → Loopback Adjustments

It’s built around reactional velocity, not bulk discounting.

SKU performance isn’t “evaluated quarterly”—it’s watched daily, acted on weekly.

Imagine launching a UGC-led bundle test on Monday…

…having the top combo manufactured by Thursday…

…and shipping orders globally by the weekend.

Contact Portless to enable weekly manufacturing runs with daily outbound. When fulfillment moves at the speed of creativity, every test becomes a growth loop, not a guess.

The Cash Delta No One Talks About

Let’s run the math:

That’s $400K in freed capital, and a radically tighter feedback loop. More importantly? You stop gambling. You start compounding.

Why This Changes Everything

Agile supply shifts your entire go-to-market motion:

• Campaigns get mapped to SKU agility, not just ad timing
• Seasonal bets become rolling micro-drops, not static inventory bets
• Inventory becomes a media tool, not a liability

Your ops team stops saying “We can’t do that.” They start asking: “How fast do you want it to live?”

Forecasting demand is a relic.

The real unlock is shaping demand through logistics agility, letting your ops follow the story, not hold it back. Move smaller. Move faster. Ship smarter. Because in DTC now, the best creative isn’t just launched, it’s fulfilled in motion.

Together with Insense

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📲 Samsung Ads Wants to Turn CTV Watchers Into Mobile Gamers

Samsung just unveiled Mobile Conversion, a new ad product designed to help gaming brands convert CTV viewers into mobile app users.  It's currently built for gaming but will expand to retail, travel, and other verticals.

The Breakdown:

1. CTV-to-Mobile, powered by AI - Samsung’s system uses AI and machine learning to identify high-intent users and adjust bidding and creative dynamically. It leverages Samsung TV Plus inventory and its own closed-loop ecosystem for smarter targeting and security. Beta testing showed up to 150% ROAS index on Day 7, surpassing client benchmarks.

2. Unified view across screens - The product connects viewing behavior on TV to installs on mobile, solving a long-standing measurement gap. It integrates with platforms like AppsFlyer and Adjust for full-funnel visibility. 

3. Next up: More industries - Mobile Conversion will expand to QSR, retail, entertainment, and financial services. With 75% of U.S. households owning a Samsung device, the brand is uniquely positioned to bridge TV and mobile.  

Marketers are hungry for new cross-channel wins as the mobile app install space gets saturated. Samsung’s Mobile Conversion turns passive CTV audiences into active mobile users with precision targeting and measurable ROI, unlocking a fresh channel for full-funnel growth.

🚀Quick Hits

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🧵Threads is testing Facebook-based signups, letting users create accounts using their Facebook profiles instead of Instagram.

📩 Google is testing a Gmail ad format that turns the Promotions tab into a shoppable carousel, combining Demand Gen targeting with rich product listings.

🔍  Google says AI won't replace SEO. Chatbots still rely on websites for answers, especially for local search and ecommerce, so knowing how to optimize sites remains essential in the AI era.

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