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Industry

DTC & Retail

Demand forecasting, dynamic pricing, ad production, and customer intelligence on top of Shopify, Amazon, and your fulfillment stack.

DTC & Retail operating environment · representative photograph of the work this industry runs.
01Operating reality

What the work usually looks like.

A multi-channel DTC operation selling on Shopify + Amazon + maybe Etsy or TikTok Shop. Pricing is set quarterly and stays flat through demand spikes. Creative production is a bottleneck in front of paid social. Inventory drift between channels causes fulfillment errors.

SYSTEM SKETCHDTC & Retail· DTC & RetailSYSTEMS OF RECORDORCHESTRATIONHUMAN GATEShopifyAmazon SP-APIShipStationStripeKlaviyoAI LAYERDTC & RetailAI AD PRODUCTION WITH BRAND…PER-SKU PER-CHANNEL DEMAND…DYNAMIC PRICING WITH MERCHA…CUSTOMER LTV SCORING + CHUR…MerchandiserREVIEWERApproveRejectAskLAYER, NOT REPLACEMENT · HUMANS ON EVERY CONSEQUENTIAL DECISION
Typical systems we sit overShopifyAmazon SP-APIShipStationStripeKlaviyoMeta AdsGoogle Merchant Center
02Bottlenecks

Where we tend to find the constraint.

  • Creative team unable to keep up with paid-social demand for ad variants
  • Pricing that's right at quarter-start and wrong by quarter-end
  • Stockouts on hero SKUs because no one watches the numbers daily

~30%

of merch-team hours we typically see lost to reconciling cross-channel inventory state between Shopify and Amazon at quarter-end, before any pricing or restock decisions get made.

03Workflows we ship

What we typically build for operations like yours.

01

AI ad production

Trigger

Performance dip or new campaign launch

AI step

Generate ad variants from brand kit + prior winners

Human review

Creative director approves before publish

Output

Variants push to Meta Ads with correct naming + targeting

02

Per-SKU demand forecast

Trigger

Daily refresh

AI step

Forecast 30-day demand per SKU per channel

Human review

Merchandiser approves reorder triggers

Output

POs drafted in inventory system; awaiting placement

03

Dynamic pricing

Trigger

Elasticity signal or competitor change

AI step

Propose new price within configured autorange

Human review

Merchandiser approves anything outside autorange

Output

Pricing commits to Shopify / Amazon with audit row

04

LTV + churn segmentation

Trigger

Weekly cohort cycle

AI step

Score customers on LTV + churn risk

Human review

Marketing approves which segments get campaigns

Output

Lists push to Klaviyo with campaign assignments

04Why HITL matters here

Where the human gate goes, specifically for this industry.

Brand integrity and pricing decisions don't survive autonomy. Creative leads approve every ad before publish. Merchandisers approve pricing changes outside a tight autorange. Marketing picks which AI-flagged segments actually get a campaign.

Sample approval surface

Subject

SKU SHIRT-NAVY-M oversold by 12 units across Shopify + Amazon, 4 fulfillment routes

Flagged
  • Shopify shows 8 in stock
  • Amazon FBA shows 0
  • Backorder + air-ship + reroute + cancel each have different margin impact
Approver

Merchandiser

Next step

Have an operation in this shape?

We'll start with a 2-week Discovery against your real systems. If we're not a fit we'll say so on the call and point you somewhere useful.