Prepared for Megan Katic · Director, Beauty Care Supply Chain

× Beauty Care

98% on-shelf.

Every SKU. Every retailer.

The SCPT cutover window is open now. SAP ECC to S/4HANA consolidations historically produce a 3 to 6 week service-level dip — and Walmart chargebacks don't pause for migrations. At the same time, planner headcount is being reduced in the same window that cutover historically needs more hands, not fewer: the bench that would normally absorb the cutover dip is thinning exactly when it's needed most. The Shelf Orchestration algorithm is publicly committed. The question is whether the execution loop — Iowa City dock to retailer shelf, every week, every SKU — can hold 98% through the window.

(Anchor: Shailesh Jejurikar at CAGNY 2026, on Supply Chain 3.0: "98% on-shelf and online availability, up to $1.5B annual gross productivity savings, 90% free-cash-flow productivity.")

Plan to shelf · the lane under the commitment

What we've read.

One plant. Five retailers. The execution loop in between.

Plant Iowa City. Five billion-dollar brands. Oral-B premium reshoring 2027.

Plan Shelf Orchestration algorithm publicly disclosed in the Supply Chain 3.0 coverage.

The loop Where plan meets retailer-window speed. Cutover weeks vs. weekly scorecard.

Shelf Walmart 98/95/3%, Target 5% COGS, Kroger $500/order. Every week.

Commitment vs reality

The gap.

Between what was committed at CAGNY and what the shelf sees every Monday morning.

Hypothesis: the 98% OSA gap on Beauty Care is not a planning gap — Shelf Orchestration is handling that. It is an execution gap, and the SCPT cutover is about to widen it. When 10 SAP landscapes consolidate to 4, the Iowa City planner team loses the institutional memory and surge capacity that historically absorbs the cutover dip. Chargebacks accrue in real time. The algorithm can be correct and the shelf can still be wrong.

EDP (Beauty Care, NA)

% of Beauty Care cases shipped from Iowa City meeting 98% In-Full / 95% On-Time at the top-5 NA retailers, measured weekly, per retailer, per brand.

Numerator: Beauty Care cases inside the retailer window.
Denominator: Beauty Care cases ordered that week.

If this number slips, the chargebacks hit the category P&L directly. The 98% commitment stops being a CAGNY claim and becomes a weekly operating problem.

98%

On-shelf / online availability commitment (P&G CAGNY 2026).

3 / 5

Walmart chargeback (% invoice) / Target (% of COGS). Kroger adds $500/order.

10 → 4

SAP landscapes consolidated under SCPT (Basis Technologies).

Billion-dollar Beauty brands. Pantene · H&S · Olay · Old Spice · Herbal Essences.

This is a hypothesis, not a characterization. We'd love to test it against your measured state.

Three forcing functions

Why now.

Three factors that make the 98% commitment acute this year, not a 2028 problem.

SCPT cutover · the open window

10 SAP landscapes consolidating to 4. Industry pattern: 3–6 week service-level dip at go-live.

Basis Technologies cutover analysis · P&G SCPT program disclosures.

Planner capacity · the thinning bench

Planner headcount is being reduced in the same window that cutover historically needs more hands, not fewer.

Non-manufacturing headcount reductions across the same 24-month SCPT cutover period.

Chargebacks don't pause · the financial clock

Walmart: 3% invoice chargeback on short fills. Target: 5% COGS. Kroger: $500/order. Each week the loop slips, the P&L registers it.

Walmart Supplier Standards 2024 · Target Vendor Guide 2024 · Kroger ORAD program.

If this is half-right, it's worth a working session.

Where fit could live

The leverage.

A hypothesis, not an assertion. The algorithm side is publicly described. The execution loop is where we'd love to test fit.

Outside-in read

Algorithm narrated publicly. Execution loop, untested from outside.

What "scaled" would look like

Every Beauty Care SKU, every NA retailer, every week.
Plant-to-shelf loop closing at retailer-window speed.
Exception response in hours, not day-after.

The replication surface

Iowa City → top-5 NA retailers.

Density today. Template for NA tomorrow.

Iowa City Beauty Care Plant

780K sqft · 5 billion-$ brands

Walmart

98 IF / 95 OT · 3% CB

Target

OTFR · 5% COGS chargeback

Amazon

Vendor central · vendor flex

Kroger

ORAD · 98%/95% · $500/order

If this works in Iowa City → it's the template for Lima, Mehoopany, Tabler Station, Albany.

One platform, every decision layer

What Enmovil is.

The intelligence layer that sits above SAP, not in place of it.

PREDICT

Available for expansion

Forecast & Demand Intelligence
Inventory Planning & Optimisation
Scenario Modelling · S&OP
Warehouse & Node Operations

PLAN

Available for expansion

Dispatch & Route Optimisation
3D Load Building
Network & Capacity Planning
Carrier Allocation

EXECUTE

Best-fit wedge for this conversation

Multimodal Orchestration (OTR · Rail · Ocean · Air)
Control Tower & Resilience
Smart RFQ / Bidding
ePOD & Freight Settlement

CADDIE AI: the cross-suite intelligence layer spanning Predict, Plan, and Execute. Conversational. Agentic. Sits above SAP S/4HANA.

25+ Fortune 100 customers · 150+ team · 10+ years · ISO 27001 · SOC 2 Type II · SAP-ready · AI-native

Proof-by-geometry

How we've helped a peer.

An FMCG Food & Beverage operator. Plant to DC to customer. Ambient, chilled, cold.

Before

Phone + spreadsheet tracking

Paper POD. Reactive customer communication.
On-The-Road deficiency alerts arrived the next morning.
Fragmented query handling across regions and brands.

After

100% shipment visibility

Automated milestone notifications, digital POD.
Real-time On-The-Road deficiency alerts.
Single Command Hub. One KPI view.

100%

Shipment visibility (plant → DC → customer).

70 to 90%

Digital POD closure rate.

80 to 90%

Faster OTR deficiency alerting.

100%

Automated customer notifications.

Different vertical in scale. The geometry translates, the percentages are to be validated together.

The stack view

CADDIE AI above SAP, not in place of it.

The cross-suite intelligence layer planners and ops leads actually talk to.

CADDIE AI · conversational · agentic · cross-suite

Predict

Plan

Execute

SAP S/4HANA · system of record · SCPT-consolidated (NA · EMEA · Asia · LatAm)

Plant · DC · Retailer · Carrier signals, real-time

No rip and replace. SCPT stays. CADDIE AI queries across the pillars in your language: "show me every Beauty Care case at Walmart risk of missing this week's fill, and the corrective dispatch."

For a longer conversation

Questions we'd love to explore together.

What we'd want to understand if we had a longer conversation.

The cutover window

Beauty Care's NA cutover slot in the SCPT sequence — is Iowa City in the first wave or a later one, and what's the planned go-live quarter?
What's the service-level floor your team has modeled for Walmart and Target fill rates during the cutover window — and what's the chargeback exposure if you land at that floor for six weeks?

The execution loop today

From Iowa City's shipping dock to a Walmart Bentonville DC receive, how many of those milestones does your team see in real time — and how many do you reconstruct from the carrier invoice the next morning?
When a Beauty Care case misses a Walmart fill window this week, how long before the planner who can reroute it knows — and what does that response actually look like right now?

Headcount & capacity

The non-manufacturing reductions — has the Iowa City planning team been in scope, and if so, what's been the impact on the number of planners covering the top-5 retailer lanes?
During a typical cutover dry-run, how much of the planner team's week gets consumed by data reconciliation across the consolidating landscapes — and what falls off the table?

Shelf Orchestration gap

The CAGNY Shelf Orchestration description covers the algorithmic side — what's the last mile between the algorithm's output and a corrective dispatch actually leaving Iowa City?
If the cutover window opens a 3-week gap in OSA visibility, which of the five Beauty Care billion-dollar brands carries the most chargeback risk, and does your team have a brand-level contingency for that scenario?

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.

Ambition

The cutover window is the highest-risk period for the 98% commitment. A 60 to 90 minute session to test whether the execution gap is real — and if so, what closing it looks like.

The ask: a 60 to 90 minute working session. Not a pitch — a hypothesis test.

A cutover stress-test

Walk through the SCPT cutover sequence against the Iowa City execution loop. Where the 3–6 week dip pattern would land, which retailer lanes are most exposed, and what the chargeback math looks like at different OSA floor scenarios.

An execution-loop read

Map where real-time visibility exists today vs. where your team is flying on reconstructed data. Identify the one or two milestones where closing the loop would most directly protect fill-rate during the window.

A one-page fit verdict

A co-drafted page naming the specific Beauty Care lane where Enmovil would reduce cutover execution risk — and what "no fit" looks like too. Something you can take back to your ops and IT leads with a clear recommendation.

Three questions to frame the session

During the SCPT cutover window, where does Beauty Care carry the most execution risk?

Has the SCPT NA cutover schedule been modeled against Beauty Care's retailer scorecards?

For a working session on the execution gap to reach a real verdict, who needs to be in the room?