Episode 126

DCL Logistics: When to stop fulfilling in-house and scale with the right 3PL partner

Brian Tu
Brian Tu
CRO

In this episode we talked about:

  • How fulfillment is evolving from an operational function into a strategic growth lever
  • Why marketing decisions often create hidden operational constraints
  • How fulfillment partners can enable new revenue opportunities
  • When it makes sense to move from in-house to outsourced fulfillment
  • Why unpredictable demand requires more flexible fulfillment systems
  • How late retail purchase orders are changing inventory planning
  • What returns data can reveal about product and customer behavior
  • Why adaptability is becoming a key factor in partner selection

🎧 Listen now on Apple Podcasts, Spotify, or YouTube

Episode highlights:

06:30 – The role of AI in fulfillment optimization

08:00 – Shipping expectations and cost trade-offs

09:30 – Planning for unpredictable demand and viral spikes

10:50 – Retail trends and delayed purchase orders

12:30 – When to outsource fulfillment

16:30 – Why adaptability matters in fulfillment partnerships

Brian's bottom line: The brands that scale fastest aren't necessarily the ones with the best products; they're the ones who built the right operational foundation early. Start by fulfilling in-house so you understand your own complexity, then outsource to a partner who treats your business like their own. And whoever you partner with — 3PL, agency, or tech vendor — make sure they can adapt as fast as you do. In a market where POs shift mid-peak and demand can triple overnight, rigidity is a liability.

FAQ

Once fulfillment becomes a distraction from building and selling products, it's time to outsource. Past $1M in revenue, the barrier to entry with a 3PL is low and the operational benefits are significant. That said, fulfilling in-house early helps brands understand their own complexity before handing it off.
The best 3PLs build both physical and technological infrastructure designed to flex quickly. With viral sales channels like TikTok capable of tripling order volume overnight, having a fulfillment partner that can scale on short notice is critical to maintaining service quality.
AI is being applied to carrier and parcel optimization — processing millions of data points in real time to select the most cost-effective and fastest shipping option for each order. This kind of decision-making is too complex and slow to do manually at scale.
Brands should expect POs to continue dropping later in the year as retailers hold back inventory decisions. Rising fuel costs and cost of goods are pushing brands to tighten SKU catalogs and focus on high-margin, fast-moving products. Flexibility and forecasting will be critical.
Clear return policies and well-defined business rules with your fulfillment provider are essential. The faster returned inventory is dispositioned — whether restocked or recycled — the less revenue is lost. Real-time return data should also feed back to marketing and supply chain teams so they can learn and iterate quickly.

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