A briefing from Enmovil

One viral moment
breaks everything at once.

Co-packer. Cash. Fulfillment. In that order.[3] A 30-plus SKU catalog on a ten-person team[2] has no system reading the surge before the stockout lands. Every constraint breaks at once. None of them sit on a spreadsheet.

The hypothesis

The gap isn't the spike. It's that there's no system reading it before the PO goes out.

TikTok Shop drives the revenue and carries the platform risk.[3] A 10-person team with no demand sensing has no signal to act on before the co-packer window closes. The stockout isn't a fulfillment problem. It's a forecast problem. AI-led demand planning tightens forecasts by ~30% vs spreadsheets.[6]

500K+customers
Intimate and body care, DTC plus Amazon, growing since 2018.[1]
30+SKUs
Hero movers (yoni gel, boric acid, washes) plus a long tail of bars, scrubs, oils, body.[1]
10person team
Lean ops in Sanford FL. Every decision has an owner. No slack for a demand surge.[2]
TikTokplatform risk
ByteDance divestiture clock still running. Primary demand amplifier carries regulatory exposure.[3]
4 to 8turns / yr
Healthy DTC inventory turn benchmark. A spike-then-stockout cycle collapses this fast.[7]
6agents
Demand, Supplier, Inventory, NPD, DTC Fulfillment, Settlement. One loop.
Caddie
Enmovil's agentic AI. Sits above your Shopify, your 3PL, your co-packer, your ad spend[10]. Reads the surge shape before the next PO goes out. Go live in three to four weeks. SOC 2 Type II.
Caddie · Enmovil's AI co-pilot

Six agents. One loop. Over your shop, your 3PL, your co-packer. No rip and replace.

A demand signal enters at Demand Sensing. It exits at Settlement. In minutes.[10]

Demand Sensing
Spike, trend, launch on one distribution.
Supplier Reliability
Co-packer, ingredient, packaging on one scorecard.
Inventory
Forward 60-day velocity per SKU. Hero tight, tail sized.
NPD Sequencing
Formulation to fill to label to dock. Every handoff owned.
DTC Fulfillment
Shopify, Amazon, 3PL on one promise clock.
Settlement & Audit
Parcel audit, accessorials, returns. Weekly.
Caddie applied to your operation

Three places Caddie maps to your supply chain. Pick one for a two-week experiment.

01 · The spike question
When a TikTok unboxing spikes one SKU 8x overnight, how long before the co-packer lead time eats the window? Does anyone see it before the stockout?
Today
Spreadsheet forecasts smooth the spike into the mean.
Cost
By the time the reorder lands, the window is already closing.
Caddie
Demand Sensing reads the surge across TikTok, Shopify, and Amazon on one distribution before the next PO drops. 88–91% deployed accuracy vs 65% market baseline.[8]
02 · The platform risk question
If TikTok Shop goes away, or goes quiet for 90 days, what does Saltxo's demand signal look like without it?
Today
Demand infrastructure built on one platform's signal.
Cost
Single point of failure. ByteDance divestiture deadline is not hypothetical.[3]
Caddie
Demand Sensing separates channel signal from product signal. The platform goes quiet, the underlying demand model holds. Inventory and supplier agents don't replan from zero.[10]
03 · The working capital question
How much working capital is sitting in slow-moving bars and scrubs that should have gone into yoni gel before the last spike?
Today
Inventory policy built for the mean starves the hero and overstocks the tail.
Cost
10-person team. No one has time to run that math per SKU per week.
Caddie
Inventory policy reads forward 60-day velocity per SKU, not historical average. Hero replenished tight. Tail sized to actual draw. Automatically.[10]
Operational impact

Six numbers you can measure in two quarters.

Forecast accuracy
88 to 91%
Deployed customer bag of models. 65 percent market baseline.
Enmovil forecasting benchmarks
Daily ETA accuracy
97%
Road, rail, ocean, air. Deployed customer base.
Source: Enmovil Caddie
Parcel spend
8 to 15% down
Continuous parcel audit on deployed customers.
Enmovil deployed benchmarks
Exception response
4xfaster
4 to 6 hours to under 30 minutes per incident.
Enmovil deployed benchmarks
Integration
3 to 4weeks
Over Shopify, 3PL, co-packer. API or CSV. No migration.
Enmovil deployment playbook
Planner minutes
30 to 50% reclaimed
Exceptions take clerking off the plate.
Baseline: Enmovil deployed benchmarks
Already deployed

Three stories that map onto Saltxo's chain.

Three deployments with closely matching shapes. Anonymized at the page, named under NDA at the booth.

Clean label D2C CPG brand
Finished goods plus raw material on one integrated planning loop.
The shape of small batch plus hero velocity.
Shape
D2C CPG brand running forecasting, inventory, raw material procurement, and dispatch on one loop.
Outcome
One plan across legacy movers and new launches. Innovation cohorts stop starving hero velocity.
Relevance
Same shape as Saltxo yoni gel plus washes plus bars plus scrubs plus the next launch.
“Transfers as: one plan that holds the new launch off the hero velocity until it earns its own forecast.”
Multi channel D2C + B2B operator
Dual demand forecasting across direct to consumer and B2B hub, thousands of SKUs.
The shape of Shopify plus Amazon on one plan.
Shape
D2C plus B2B operator running dual demand forecasting and stacking guidance across 3,500 plus SKUs.
Outcome
One view of demand across D2C parcel and B2B hub. One replenishment calendar.
Relevance
Maps to Saltxo's DTC.com plus Amazon posture, with a retail lane when Saltxo is ready.
“Transfers as: Demand Sensing reads DTC, Amazon, and any emerging retail on one distribution. Ops sees one plan.”
High SKU long tail network
Thousands of low velocity, high criticality SKUs with forecast shapes that are mostly zero.
The shape of the long tail versus the hero.
Shape
High SKU network running intermittent demand math on a long tail, with hero velocity on one tower.
Outcome
Long tail forecast error compressed. Planner minutes reclaimed. Inventory sized to actual draw.
Relevance
Direct match to Saltxo's 30 plus SKU catalog where most ship rarely and a few ship daily.
“Transfers as: inventory policy reads forward velocity per SKU. The bar stops eating the yoni gel's working capital.”
Who built this

Enmovil · the technology thought partner for autonomous supply chains.

AI-native platform for demand, inventory, dispatch, execution, settlement, sustainability. Sits above your existing stack.

Under orchestration
~100K
Trucks per day across the customer base
Daily ETA accuracy
99%
Road, rail, ocean, air
Forecast accuracy
97%
Demand sensing on deployed customers
Logistics cost savings
8 to 15%
Measured across deployments
Integration
3 to 4wks
On existing SAP, Oracle, TMS, WMS. No migration.
Deployed at
Dispatch Planning
Multimodal Logistics
Multimodal Orchestration
Dispatch Planning
Fleet Management
Logistics Orchestration
Logistics Resilience
Inventory Management
Freight Settlement
Dispatch Planning
Transport Management
Export Planning
Runs under GDPR and SOC 2. Data ingestion via API, EDI, or bulk upload. Enterprise SSO. Deploys over existing SAP ECC 6.0 and above.
The ask

60 to 90 minutes. Working session. Not a demo.

We'll scope against your actual constraints, not walk you through slides. Bring the demand plan, one supplier scorecard, and one open launch. Three questions below tell us which experiment to put in front of you first.

Question 1 of 3
Last time a TikTok moment hit, what broke first?
The co-packer. Lead time closed the window before we could reorder.
Cash. The reorder hit before the settlement cleared.
Fulfillment. The 3PL slipped the promise date.
All three in sequence, within the same week.
We don't have visibility into which one moved first.
Question 2 of 3
If TikTok Shop paused for 90 days, how much of your demand signal would go dark?
Most of it. TikTok is where discovery and conversion happen.
About half. We have DTC and Amazon running independently.
Some. TikTok drives awareness but Shopify holds repeat.
Not much. We have channel diversification already.
Question 3 of 3
If you could close one gap in the next two quarters, what would it be?
Reading a TikTok spike before the stockout, not after
Stopping the long tail from eating hero working capital
Co-packer coverage visibility before lead time closes
An independent demand read that doesn't depend on TikTok
NPD handoff sequencing: formulation to fill to dock date

If you have already solved these, that is the conversation we most want to have. Bring the demand plan, one supplier scorecard, and the last launch post-mortem.

Book the session →
At the American Supply Chain Summit · Dallas · Booth [BOOTH_NUMBER]