A briefing from Enmovil for
Advocare

From 235,000 square feet in Richardson.
To Amazon, Walmart, CVS, TikTok Shop. One plan that sees all four.

What does a retail first CPG supplements brand look like, scaling an omnichannel catalog out of 235,000 square feet of warehouse at 2800 Telecom Parkway[1], when Spark has just added a 30 serving retail exclusive canister across Walmart, Amazon, CVS, and TikTok Shop[2], Walmart is enforcing 95 percent on time plus 95 percent in full with chargebacks around 3 percent of order value[5], FedEx and UPS each raised rates 5.9 percent for 2025 into 2026 with additional handling surcharges up 29 to 34.5 percent on zone 7 plus[6], and the US sports nutrition market is on track from 29.42 billion dollars in 2024 toward 55.51 billion by 2033[3]? Caddie, Enmovil's agentic AI, sits above the ERP, the WMS, and the retail execution layer[16]. Closes the loop from contract manufacturer to shelf and doorstep without a migration.

The situation

What does 2026 actually feel like inside an omnichannel supplements brand built for retail and D2C on one 235,000 square foot floor in Richardson?

The US sports nutrition market sits at 29.42 billion dollars in 2024 and tracks toward 55.51 billion by 2033 at roughly 7.4 percent CAGR[3]. US sports supplements specifically scale from 43.16 billion in 2024 toward 86.74 billion by 2033[3]. Meanwhile US specialty vitamin retail is compressing, with the chain footprint at roughly 3,017 stores in 2025 and GNC down 225 units in 2026[4]. Walmart enforces 95 percent on time and 95 percent in full on prepaid loads, with chargebacks around 3 percent of order value, and EDI 856 is the single biggest chargeback vector across CPG[5]. FedEx and UPS each raised rates 5.9 percent for 2025 into 2026 with additional handling surcharges up 29 to 34.5 percent on zones 7 plus since December 2024[6]. Research puts the CPG new product launch failure rate at 75 to 95 percent, with AI driven forecasting reducing error by roughly 30 percent versus spreadsheets[7]. So what does it take to land every retail MABD window, every D2C parcel promise, and every innovation launch in the same week, across four different channels.

260Ksq ft, TX
2800 Telecom Parkway, Richardson. 235,000 square foot warehouse plus 25,000 square foot office.[1]
4channels
Walmart, Amazon, CVS, TikTok Shop. Plus D2C web. Each runs on a different replenishment cadence.[2]
95 / 95OTIF
Walmart on time and in full, enforced with chargebacks around 3 percent of order value. EDI 856 is the single biggest chargeback vector.[5]
+5.9% parcel
FedEx and UPS GRI each for 2025 and 2026. Additional handling surcharges up 29 to 34.5 percent on zone 7 plus since December 2024.[6]
75 to 95% fail rate
CPG new product launch failure rate. AI forecasting cuts error by roughly 30 percent versus spreadsheets.[7]
6agents
Demand Sensing, Innovation Planning, Retail Execution, D2C Parcel, Reverse Logistics, Settlement. One loop.
Caddie
Enmovil's agentic AI. Sits above your ERP, your WMS, and the retail execution layer[16]. Closes the loop from contract manufacturer to shelf and doorstep without a migration. Typical go live is three to four weeks. ISO 27001 and AICPA SOC 2 Type II certified. EDI 850, 856, 810, 210, 110, 310 supported on ANSI X12 and EDIFACT[9].
Three questions an informed observer would ask

Pick the one costing the most chargebacks or margin this fiscal. We will scope a two week experiment on it.

01 · The forecast question
When Spark rolls a new retail exclusive SKU, where does the forecast actually break first? The Richardson DC, the EDI feed, or the parcel channel?
Spark introduced a 30 serving retail exclusive canister at 34.99 dollars across Walmart, Amazon, CVS, and select national retailers late 2024[2]. Each channel runs a different replenishment cadence. Innovation timelines at CPG are 18 to 36 months concept to shelf, with D2C halving the test window before the retail commit[7]. On launch week, retail DC pull and D2C parcel pull arrive at the Richardson dock on different clocks. Which side carries the forecast error today. The mass retail baseline, the D2C tail, or the new SKU innovation cohort.
Caddie answer: A demand forecasting engine that auto selects the right model per SKU across ARIMA, Prophet, XGBoost, LSTM, RNN. 88 to 91 percent deployed accuracy versus a 65 percent market baseline[14].
02 · The EDI 856 question
What does a clean 856 look like on launch week, when Fall innovation, holiday pull forward, and retail exclusive pack configs hit Walmart's and Target's fine thresholds at the same time?
EDI 856 is the single biggest chargeback vector in CPG at Walmart and Target[5]. Walmart's fine runs roughly 3 percent of order value on out of window loads. In a launch week, three forecasts collide: the legacy mover (Spark stickpacks), the holiday pull forward, and the new retail exclusive pack config. If the ASN, the dock reality, and the retailer receiving window do not line up, the 856 is where the penalty lands first. Eleazar's floor feels it. Becky's launch plan feels it. Kathy's S and OP owns it.
Caddie answer: A visibility and execution layer that joins the ASN, dock reality, and carrier ETA. Fires the exception before the load misses MABD. EDI 850, 856, 810, 210, 110, 310 on ANSI X12 and EDIFACT[9].
03 · The channel truth question
Amazon, Walmart.com, CVS, and TikTok Shop each run on different replenishment cadences. How do you read one truth of demand across all four?
Brick and mortar still accounts for roughly 72 percent of 2024 sports nutrition revenue, with e-commerce growing near 8.6 percent[3]. Amazon replenishes on FBM and FBA signals. Walmart runs a retailer DC plus OnePerfectOrder signal. CVS is a slow cadence planogram. TikTok Shop moves on creator driven velocity that does not look like any of the above. When Kathy, Becky, and Eleazar compare notes on Monday morning, are they looking at one demand distribution, or four.
Caddie answer: Demand Sensing agent joins all four channel signals into one distribution. Innovation Planning agent keeps launch cohorts from starving the legacy velocity lines.[16]
The operating layer · Caddie, Enmovil's AI co-pilot

Six agents. One continuous loop. Over your existing ERP, WMS, and EDI stack. No rip and replace.

A demand signal enters at Demand Sensing. It exits at Settlement. Autonomously. In minutes. Then the next one enters. The loop runs 24/7.[16]

Demand Sensing
Bag of models reads Walmart, Amazon, CVS, TikTok Shop, and D2C into one distribution. 88 to 91 percent deployed accuracy.
Innovation Planning
Launch cohorts, retail exclusive packs, and seasonal innovation kept off the legacy velocity line until they earn their own forecast.
Retail Execution
Joins EDI 850, 856, 810 into ASN plus dock reality plus retailer MABD. Fires the exception before the 3 percent COGS fine lands.
D2C Parcel
FedEx and UPS rate drift surfaced continuously. Additional handling, zone, and oversize surcharge deltas audited per shipment.
Reverse Logistics
RMA intake joined to lot genealogy. Quality complaint trend continuously surfaced under DSHEA and 21 CFR Part 111 cGMP.
Settlement & Audit
Retailer chargebacks, carrier accessorials, and parcel surcharge drift surfaced continuously, not quarterly.
Caddie, in Enmovil's own words: “Your AI co-pilot for supply chain orchestration. Unifies planning, logistics, and execution into one autonomous intelligence layer.”[16]
Operational impact · what changes in the first two quarters

No dollar sign promises. Six operating numbers you can measure.

Every number below comes from deployed customer outcomes on the Enmovil platform. Not projections. We show you the deployments. You pick the one closest to Advocare's shape.

Forecast accuracy
88 to 91%
Bag of models on deployed customers, versus a market baseline near 65 percent.
Source: Enmovil demand forecasting benchmarks
Daily ETA accuracy
97%
Road, rail, ocean, air on the deployed customer base.
Source: Enmovil Caddie
Transportation spend
8 to 15% down
Measured across deployments. Continuous parcel audit plus retailer DC freight audit compounded.
Source: Enmovil deployed customer benchmarks
Exception response
4xfaster
4 to 6 hours compressed to under 30 minutes per incident on live deployments.
Source: Enmovil deployed customer benchmarks
Integration
3 to 4weeks
Over existing ERP, WMS, EDI, and parcel carrier APIs. No migration.
Source: Enmovil deployment playbook
Planner minutes reclaimed
30 to 50%
Auto routed exceptions take clerking off planner plate. Validated on your data at the booth.
Baseline: Enmovil deployed customer benchmarks

What we are not promising on this page: a specific chargeback delta, an OTIF point, or a fiscal year number. Those are the things we think are true. We want to scope them with you in the room, not pre print them on a slide.

Where Enmovil has already solved this shape

Three customer stories that map onto Advocare's chain.

We do not have a US sports nutrition brand to name yet. We have Fortune 100 CPG dispatch, a clean label D2C CPG brand on one plan, and a dual channel D2C plus B2B operator where the operating shape is close enough that the pattern transfers. Named references available under NDA at the booth.

Fortune 100 global CPG
Multi channel dispatch across a national retailer DC network with cold chain telemetry.
The shape of plant to retailer DC to shelf at enterprise scale.
Shape
CPG manufacturer running dispatch planning, route optimization, and multimodal orchestration on one control tower across a national DC network.
Outcome
10 percent transportation spend reduction on deployed lanes. Manual reconciliation eliminated.
Relevance
Closest analog to Advocare's plant to retailer DC to shelf flow across Walmart, CVS, GNC, Vitamin Shoppe at enterprise scale.
“Transfers to Advocare as: one dispatch plan across retailer DCs. Auto routes the exception when a launch week or holiday pull forward changes the week.”
Clean label D2C CPG brand
Finished goods and raw material planning on one integrated loop for a scaling D2C plus retail operator.
The shape of innovation cohorts riding alongside legacy velocity.
Shape
D2C CPG brand running forecasting, inventory optimization, raw material procurement, and dispatch planning across finished goods replenishment on one loop.
Outcome
One forecast across legacy movers and new launches. Innovation cohorts do not starve the legacy velocity line.
Relevance
Closest analog to Advocare's Spark stickpacks plus 24 Day Jumpstart plus retail exclusive 30 serving canister plus Harmony plus Go MEs Gummy Vitamins plus Blue Orbit.
“Transfers to Advocare as: one integrated plan that holds launch cohorts off the legacy velocity line until they earn their own forecast.”
Multi channel D2C plus B2B operator
Dual demand forecasting across direct to consumer parcel and B2B retailer DC, across thousands of SKUs.
The shape of Amazon, Walmart.com, and a B2B retailer DC on one plan.
Shape
D2C plus B2B operator running dual demand forecasting, inventory, and stacking guidance across 3,500 plus SKUs on one platform.
Outcome
One view of demand across D2C parcel and B2B hub. Stacking guidance for loaders joined to the demand plan.
Relevance
Closest analog to Advocare's Amazon FBM plus Walmart.com plus CVS plus TikTok Shop plus D2C web split.
“Transfers to Advocare as: Demand Sensing reads all four channels into one distribution. Eleazar's floor sees one plan, not four.”
Scale
~100,000 trucks per day under orchestration across the deployed customer base. 97 percent daily ETA accuracy. 88 to 91 percent forecast accuracy on deployed customers versus a 65 percent market baseline. Selected over Blue Yonder, Manhattan, Kinaxis, o9, Oracle, and EY in tier 1 competitive evaluations.
Who's building this

Enmovil · the technology thought partner for autonomous supply chains.

One AI-native platform. Demand sensing, inventory, dispatch, execution, freight settlement, sustainability reporting. All on one intelligence layer that sits above the systems you already own.

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

A thirty minute working session. Not a demo.

A thirty minute working session. Not a demo. We leave the room with three scoped experiments and a shared view of where next fiscal's operating margin actually sits, post restructuring. Three questions we want to ask before the session. Your answers tell us what experiments to bring.

Question 1 of 3
Walmart, Target, CVS, Amazon. Which retailer took the biggest OTIF or 856 chargeback bite last fiscal?
Walmart, on MABD window enforcement
Target, on ASN accuracy
CVS, on planogram reset cadence
Amazon, on FBM performance metrics
Spread roughly even. A systemic cost, not one retailer
Question 2 of 3
On innovation launch week, where does the forecast actually break first?
Richardson DC receiving, short of inbound
The 856 ASN to Walmart and Target
D2C parcel capacity, oversized surcharge drift
Innovation cohort starving the legacy velocity SKUs
TikTok Shop creator driven velocity signal
Question 3 of 3
If you could automate one operations workflow across Kathy's, Becky's, and Eleazar's teams in the next two quarters, what would you pick?
Joined four channel demand signal into one distribution
EDI 856 exception triage against MABD window
Innovation cohort forecast separated from legacy velocity
Continuous parcel audit on FedEx and UPS GRI drift
Lot genealogy from contract manufacturer to consumer refill

If you have already solved these, that is the conversation we most want to have. Bring one demand planner on the Walmart side, one launch lead on innovation, and one warehouse lead on EDI and dock reality.

Book 30 minutes →
At the American Supply Chain Summit · Dallas · Booth [BOOTH_NUMBER]