A briefing from Enmovil

Cells that must be on shelf, always.
Every DC. Every store. Every season.

A Walmart Lighthouse reset[2], a Gulf Coast storm watch, and a Q4 toy launch all hit the same week. Caddie sits above your SAP[3], TMS, and retail execution layer.[9] Closes the loop from LaGrange to the backroom peg. No migration.

The situation

What does 2026 actually feel like from inside a category-captain battery operation that runs lean for Omaha?

Global alkaline is a $10.5B, 5.3% CAGR market[4], but rechargeable lithium is taking high-drain share fast: up to 40% in cameras and gaming peripherals.[5] On the shelf, planograms drift out of compliance at ~10% per week[7], and a Gulf Coast storm watch pulls a week of D-cell demand forward. So how do you land every peg, every week, across Walmart, Target, Costco, and the dollar channel without carrying six weeks of safety stock?

18.5% share
Global alkaline battery leader. Category captain across US mass retail.[1]
2US plants
LaGrange, Georgia and Cleveland, Tennessee. 25 million dollar Cleveland expansion live.[8]
$56MR and D
Atlanta headquarters opens summer 2026. R and D joins LaGrange and Cleveland on the same map.[11]
~24desks
Berkshire Omaha HQ oversees the whole portfolio. Lean by design. Speed is the advantage.[12]
92-95% OSA
Grocery on-shelf availability benchmark. Drops to 85-90 percent during promo windows.[6]
6agents
Demand Sensing, Inbound Capacity, Plant and Line, Dispatch, Retail Execution, Settlement. One loop.
Caddie
Enmovil's agentic AI. Sits above your SAP, TMS, WMS, and retail execution.[9] Closes the loop from plant to shelf without a migration. Typical go-live is three to four weeks.
Caddie · Enmovil's AI co-pilot

Six agents. One continuous loop. Over your existing SAP. 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.[9]

Demand Sensing
Pull by SKU, region, season. Long tail and storm surge included.
Inbound Capacity
Rolling six-month materials plan. Sequences intake to actual inbound, not static BOM.
Plant & Line
Sequences LaGrange and Cleveland against inbound. Matches build to firm retailer demand.
Dispatch
Sequences to retailer DCs and mass channel. Compresses window variance.
Retail Execution
Joins DC signal to store shelf. Triages where OSA breaks per banner.
Settlement & Spend
Audits every invoice. Accessorial and fuel drift surfaced continuously.
Caddie, in Enmovil's own words: “Your AI co-pilot for supply chain orchestration. Unifies planning, logistics, and execution into one autonomous intelligence layer.”[9]
Caddie applied to your operation

Three places Caddie maps to your supply chain. Pick the one costing the most sales this fiscal.

01 · The forecast question
Promo cadence, hurricane surge, and a Walmart reset calendar land on the same weekly forecast. What share of SKUs hit the plan ±10%?
Today
Three forces (promo, weather, retailer reset) land on one weekly forecast. Promo baselines have been flat for five years.[14]
Cost
Hero 80–90%, long tail 60–75% accuracy[13] · landfall +5 day early signal missed by quarterly recon.[15]
Caddie
Demand Sensing reads the full distribution, not the mean. Hurricane, reset, and promo become named forecast dimensions, not quarterly reconciliations.[9]
02 · The on-shelf availability question
Between the retailer DC and the store peg, where does OSA actually break? An empty hook at Walmart isn't priced like Dollar General.
Today
Largest OSA failure cause is backroom stock not reaching the shelf, not the DC.[6]
Cost
Walmart loses ~$3B/yr to OOS at scale[16] · Lighthouse 2025 changes shelf physics first at Walmart.[2]
Caddie
Retail Execution agent joins the DC signal to store-level shelf data. Triages the break per banner. Fires the exception before the buyer sees it.[9]
03 · The automation question
The Berkshire operating book is lean by design. Where is the next 5% of planner and warehouse leverage hiding in a shop that's already reasonably automated?
Today
Berkshire-lean. Omaha sends no CIO and bundles no vendor. Procurement autonomy is yours.[12]
Cost
Three lifts hide beyond the warehouse: planner exception minutes, continuous freight audit, long-tail forecast accuracy.
Caddie
One agentic layer for demand, capacity, plant, dispatch, retail execution, and settlement. On the SAP you already run. Three to four week go-live.[9]
Operational impact

Six operating numbers you can measure.

Every number below comes from deployed customer outcomes, not projections. Pick the shape closest to Duracell's.

Daily ETA accuracy
97%
Across road, rail, ocean, and air on the deployed customer base.
Source: Enmovil Caddie
Demand sensing accuracy
97%
Deployed customer benchmark. Long tail and new-config SKUs included.
Enmovil deployed benchmarks
Exception response
4xfaster
4 to 6 hours compressed to under 30 minutes on live deployments.
Enmovil deployed benchmarks
Transportation spend
8 to 15% down
Measured across deployments. Nestle dispatch baseline, continuous audit compounded.
Enmovil deployed benchmarks
Integration
3 to 4weeks
Over existing SAP. API, EDI, or CSV. No migration.
Enmovil deployment playbook
Planner minutes reclaimed
30 to 50%
Auto routed exceptions take clerking off planner plate. Validated on your data at the booth.
Enmovil benchmarks
Already deployed

Three customer stories that map onto Duracell's chain.

No consumer battery maker to name yet. Three deployments (Fortune 100 CPG, tier 1 electricals, F500 SAP-native) match the operating shape closely. Named references at the booth.

Fortune 100 global CPG
Dispatch planning across a national mass-retail distribution network. Live deployment.
The shape of plant to retailer DC to store, with cold chain rigor applied to ambient freight.
Shape
F100 CPG running dispatch planning, route optimization, multimodal orchestration on one control tower across a national DC network.
Outcome
10% transportation spend reduction on deployed lanes. Manual reconciliation eliminated.
Relevance
Closest analog to Duracell's plant→DC→store flow across Walmart, Target, Costco.
“Transfers to Duracell: one dispatch plan across retailer DCs. Auto-routes the exception when a Lighthouse reset or storm watch changes the week.”
Tier 1 global electricals
FTL, LTL, and courier on one orchestration layer with electronic proof of delivery.
The shape of mixed mass retail freight modes on one settlement path.
Shape
Global manufacturer running FTL to retailer DCs, LTL consolidation, and courier with e-POD on one Caddie platform.
Outcome
Single settlement path across all three modes. Freight audit runs continuously. Accessorial drift surfaces within 24 hours of invoice.
Relevance
Closest analog to Duracell's mixed FTL plus LTL plus retailer-pickup freight footprint.
“Transfers to Duracell as: Settlement agent audits every invoice. Landed cost per case pack by destination, carrier, month.”
Fortune 500 SAP-native
Manufacturer with SAP as ERP. 90-minute extract to decision to writeback cycle.
The shape of Caddie living on top of SAP without migrating SAP.
Shape
SAP-native manufacturer ran a 16 hour overnight forecast job and a 40 minute planner report cycle before Caddie.
Outcome
Overnight job retired. Reports now 5 minutes. 90 minute SAP extract to decision to writeback. Selected over SAP, Kinaxis, EY, and Blue Yonder.
Relevance
Duracell runs SAP as the system of record, MaintainX-integrated[3]. Caddie sits on top. No migration.
“Transfers to Duracell as: the daily planner screen becomes one pane of glass. The overnight job goes away. Omaha does not have to send an IT team.”
Scale
~100,000 trucks/day under orchestration. 97% daily ETA accuracy. 97% demand sensing accuracy. Selected over Blue Yonder, Manhattan, Kinaxis, o9, Oracle, and EY in tier-1 evaluations.
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

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 below shape what we bring.

Question 1 of 3
A Gulf Coast storm watch, a Walmart Lighthouse reset, and a Q4 promo window all land in the same week. Which breaks first on your current plan?
The forecast. The three signals average each other out and the model misses.
DC replenishment. Safety stock runs thin on D cell or Optimum AA.
Store execution. Product is in the backroom. Peg stays empty.
Planogram compliance. The reset drifts out across the chain.
All four, and they compound.
Question 2 of 3
Between the retailer DC and the store backroom, where does on-shelf availability actually break today?
Inbound receiving at the retailer DC
Store replenishment cadence from DC
Backroom staging and case-pack visibility
Shelf execution. Product in backroom. Peg empty.
It depends on the banner. Walmart, Costco, and Dollar General fail in different places.
Question 3 of 3
If you could automate one repetitive planner or supply workflow across retail-supply, food-channel, and Walmart-account teams, what would it be?
Store-level exception triage when OSA drops
Hurricane-window pull-forward forecast
Replenishment against a Lighthouse or category reset week
Continuous freight audit on accessorials and fuel
Long tail SKU forecast on coin cells and specialty formats

If you have already solved these, that is the conversation we most want to have. Bring one retail supply lead from the Walmart side, one demand planner on the food channel, and one supply lead on inbound components.

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