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Want to see what DeliveryGPT would recommend for your catalog and checkout flow?

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What is DeliveryGPT?

DeliveryGPT means downstream supply chain meets real-time consumer demands to maximize margins through smart bundling on the PDP and the following touch-points.

The GenAl architecture weaponizes your delivery and shipping module -- the most valuable real-estate of the check-out flow, including:

Tailored Product bundles
Ideal ship-price
Delivery date

This solves your pain points across ecommerce and supply chain/operations, allowing you to choose from a variety of different goals.

Reduce excess inventory/avoid markdown pricing
Maximize margin per visitor (MPV)

Why It Matters

DeliveryGPT means supply chain dynamics meet in-session marketing. It ties supply chain needs to customer demands, and measures the results on a host of different manifest metrics, including: maximizing revenue per visitor, margins, or excess inventory reduction for SKU inventory with broken sizing or exceeding days-of-supply thresholds.

DeliveryGPT allows retailers to take care of any goal at the moment the customer is engaging with a product first. .

What We Deliver

✅ Meet your buyers at the peak attention span to exceed your business goals

On every PDP and COP, DeliveryGPT surfaces the optimal product-ship-price-delivery-time combination in the delivery module where shoppers spend most attention, guaranteed to achieve the goal in question.

Question

🔄 Interventions guaranteed to achieve goal :Serves intervention with the highest causal conversion lift over a set of intervention even including cost-neutral options, never touching the gross price of the products in question, “Free delivery by Friday,” “Bundle up and get free delivery” (if shipping threshold is reached)

📈 True Incrementality : Our experimentation layer isolates and quantifies the revenue lift from each delivery intervention, and optimizes further based on observed date

🔄 End-to-end system : Fenix is the source of truth for carrier rate selection and order allocation. DeliveryGPT is tied to Fenix’ downstream carrier rate and order allocation decision engines that execute in alignment with the front-end

How It Works

Input: Product + user context (location, cart, traffic source, intent signals) + real-time inventiory and logistics data
ML Ranking: DeliveryGPT ranks bundles by predicted margin * take rate
Stratification layer. Rules specified by the business user
A/B Tested Recommendation: Real-time insertion into PDP
Outcome Tracking: Conversion, margin, revenue, AOV, and lift logged
Continuous Learning: Our model improves weekly via actual outcomes

Continuous Learning, Input, ML Ranking, Stratification layer, A/B Tested Recommendation, Outcome Tracking

Who It's For

Retailers with:

$50M+ in revenues, or $100M GMV
Multiple shipping tiers or promo levers
Product catalogue that is amenable to bundling

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