Enterprise Demand Intelligence · Live

Demand Forecasting
& Supply Intelligence.

Move beyond basic inventory tracking; optimize your entire working capital.

DPL decodes the mathematical DNA of each SKU — isolating trend, seasonality, and volatility — to automatically deploy the optimal ensemble model.

Forecasting · Supply Planning · S&OP · One unified platform.

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demandplanner · command center
Overstock Saved
€48K
↓ released
Stockout Risk
3 SKUs
Act now
Accuracy
94.2%
● Live
Demand DNA · Live Classification
50 SKUs · scanning
Classifying:
WMA
SBA
TSD
H-W
ARIMA
Auto ✓
Engine running
What you actually get

Five engines. One supply chain.

Click each module to see exactly what it does and why it matters.

01 · AI Forecasting Engine

The right algorithm for every SKU — automatically.

DemandPlanner runs a live tournament of 6 algorithms on every SKU — backtesting each against real history, scoring on MAPE, RMSE, and BIAS, then deploying the winner automatically.

  • Detects seasonality, trend, intermittency, and volatility per SKU
  • Ensemble blending when two algorithms are within 5% of each other
  • MAPE + RMSE + BIAS composite scoring — not just MAPE alone
  • Stockout correction — zero months imputed before training
Others
One method for all SKUs. No backtesting.
DemandPlanner
6 algorithms compete. Best one wins per SKU.
Algorithm tournament · SKU_0167
WMA
14.2%
SBA
22.1%
ARIMA
8.4% ✓
H-W
11.3%
TSD
16.8%
Selected: ARIMA(1,1,0)
Auto-correlated trending demand · CV 11% · No seasonality · Regular pattern
CV
11%
Trend
Yes
Seasonal
No
02 · Supply Planning

The right order, at the right time, in the right quantity — every cycle.

DemandPlanner builds a complete 12-month buying plan from your forecast — calculating safety stock, reorder points, and order quantities using real demand volatility and lead time data. Not rules of thumb. Not gut feel.

  • Safety stock calculated from actual σ demand × lead time uncertainty — not "2 weeks cover"
  • Stockout risk flagged 6–8 weeks ahead — with AI recovery options (air freight, split delivery, demand shaping)
  • Overstock detected with exact capital locked and monthly holding cost
  • NPI mode for new products — analog SKU scaling or manual monthly forecast
  • Confirm orders directly from the plan — they appear as transit orders immediately
Without DPL
Stockouts discovered after the fact. Overstock discovered at audit. Orders placed on gut feel.
DemandPlanner
Stockout flagged 6 weeks ahead. Recovery strategy generated. Order placed before the crisis.
Supply plan · SKU_0167 · next order
Daily velocity
6.6
units/day
Safety stock
110
95% SL · ABC-B
Lead time
75d
effective LT
Order roadmap · next 3 orders
🔮 Anticipatory 1,488 units → 01 Jul 2026 €3,422
🔮 Anticipatory 1,692 units → 31 Dec 2026 €3,892
⚠ Reactive 846 units → 31 Mar 2027 €1,946
⚠ Stockout risk · Jun–Jul 2026. Lead time 37d · earliest arrival 16 Jul · 45 days too late. AI recovery: split delivery reduces gap to 15d.
03 · S&OP Planning

Adjust. Align. Commit — commercial reality layered on the forecast.

Layer promotions, price changes, and new product launches on top of the statistical baseline. Lock a consensus plan your whole organisation can act on — no Excel handoffs.

  • Override statistical forecast per SKU with commercial judgment
  • Full audit trail — who changed what and when
  • Approve and lock — supply plan updates automatically
  • Apply % uplifts for promotions across all SKUs in one action
Others
Export to Excel, adjust manually, re-import. Every month.
DemandPlanner
Override → approve → supply plan updates. In-app. Done.
01
Statistical forecast generated
6 algorithms · auto-selected per SKU
Auto
02
Commercial review
Sales team overrides + promotions applied
Override
03
Consensus meeting
Cross-functional alignment on final numbers
Align
04
Plan approved and locked
Supply plan generated automatically
Locked
04 · Expiry & Lot Tracking

At-risk stock excluded from your supply plan before it becomes a write-off.

For distributors handling perishable, pharma, or cosmetics inventory — DemandPlanner tracks every batch at lot level with MRSL rules. At-risk stock is automatically excluded from usable inventory so your buying plan never orders more of what's about to expire.

  • Lot-level batch tracking with Minimum Remaining Shelf Life (MRSL)
  • At-risk batches excluded from usable stock in the supply plan automatically
  • Action Required queue flags expiry risk up to 90 days ahead
  • Expiry dashboard shows all at-risk lots across all locations
  • Will-sell-through analysis — does daily demand clear the lot before expiry?
Without DPL
Write-offs discovered at month-end. Buying plan uses total stock including expired lots.
DemandPlanner
BATCH-001B flagged 40 days ahead. Excluded from supply plan. Zero surprise write-offs.
Lot breakdown · SKU_0001 · Face Serum 50ml
BATCH-001A ✓ Usable
354 units Expires: Jan 2027 108d left
BATCH-001B ⚠ At Risk
237 units Expires: Jul 2026 40d left
DEFAULT ✓ Usable
301 units Expires: No expiry — left
Supply plan uses
655 units usable · BATCH-001B excluded
892 total in warehouse · 237 at-risk excluded
⚠ Action Required: BATCH-001B expires in 40 days · MRSL 90d · 237 units at risk · €3,458 value. Daily demand: 9.4 u/day — will sell through before expiry.
05 · Cash Flow Projection

12 months of purchasing commitments. When cash goes out. When stock arrives.

Most distributors only discover their cash exposure when the invoice lands. DemandPlanner pre-computes your full 12-month purchasing commitment nightly — offset by your supplier payment terms — so your finance team always knows what's coming.

  • 12-month purchasing roadmap pre-computed nightly — instant load at 5,000 SKUs
  • Payment terms applied per supplier — cash out date ≠ order date
  • Anticipated vs reactive orders colour-coded — plan vs emergency spend visible
  • ABC-XYZ segmentation drives service levels — A-X gets tightest safety stock
  • WMAPE + bias tracked per SKU monthly — accuracy report ready for S&OP
Without DPL
Cash exposure discovered when invoices arrive. No forward visibility on purchasing commitments.
DemandPlanner
12-month cash out schedule pre-built. Finance knows every commitment before it's placed.
Cash flow projection · next 6 months
Jul 2026
€18,400 🔮 Anticipatory
Aug 2026
€31,200 🔮 Anticipatory
Sep 2026
€8,900 ⚠ Reactive
Oct 2026
€24,600 🔮 Anticipatory
Nov 2026
€41,300 🔮 Anticipatory
Dec 2026
€12,100 ⚠ Reactive
12M Commitment
€248K
Anticipatory
82%
Reactive
18%
✓ 82% anticipatory rate — the majority of spend is planned, not reactive. Industry benchmark is 40–60%.

Six engines. Real numbers.

Every module solves a specific supply chain problem and makes the financial impact visible before you act.

01 · Forecast Accuracy
+31%
accuracy gain · first 90 days
6 algorithms race per SKU. Best one wins.
WMA · SBA · Croston · TSD · H-W · ARIMA — backtested and ensemble-blended automatically.
Before
60%
With DPL
91%
02 · Supply Planning
82%
anticipatory order rate
Buying plan built nightly. One-click orders.
ROP, safety stock, EOQ from σ demand × lead time. Stockout flagged 6–8 weeks ahead with AI recovery.
🔮 Jul 2026 1,488u €3,422
🔮 Dec 2026 1,692u €3,892
⚠ Mar 2027 846u €1,946
03 · Stockout & Overstock
−80%
stockout incidents · avg client
Stop reacting. Start preventing.
Stockout flagged with cover days + recovery plan. Overstock shown with capital locked and holding cost.
⚠ LYO · 0d cover · air freight 400u · +3d
📦 PAR · 181u excess · €4,200 locked · −40% next PO
04 · Expiry Tracking
90d
ahead — at-risk batches flagged
Excluded from supply plan automatically.
Lot-level MRSL tracking. At-risk stock excluded from usable inventory. Will-sell-through analysis per batch.
BATCH-001A 354u ✓ Usable
BATCH-001B 237u ⚠ At Risk
DEFAULT 301u ✓ Usable
655u usable · 237u excluded · MRSL 90d
05 · Cash Flow
€248K
12-month commitment mapped
Visible before the invoice lands.
Payment terms applied per supplier. Anticipatory vs reactive spend colour-coded. Forward visibility for your CFO.
Jul
Aug
Sep
Oct
Nov
Dec
82%anticipatory
18%reactive
06 · ABC-XYZ Analysis
87%
SKUs improving · vs prior 6 months
Portfolio segmented. Service levels set per class.
ABC by value · XYZ by variability. A-X at 99% SL. C-Z at 93%. WMAPE + bias tracked per SKU monthly.
A-X
A-Y
A-Z
B-X
B-Y
B-Z
C-X
C-Y
C-Z

No credit card · No ERP · Live forecast in under 5 minutes

Enterprise-grade from day one.

Built by a supply chain professional who spent 10 years watching enterprise tools fail at SME scale.

📊
Forecasting & Supply Planning
Monthly forecast across all SKUs. Buying plan, safety stock, and reorder points — delivered on time every cycle.
📋
S&OP Reporting
Full monthly S&OP pack — statistical baseline, commercial consensus, accuracy review — ready for your leadership meeting.
🏷️
Inventory & Expiry Management
Lot-level tracking, at-risk batch alerts, overstock detection, and liquidation recommendations.
📤
Purchase Order Support
Order recommendations, supplier communication, and transit tracking — end to end.
💬
Direct Access
Slack, email, or weekly call — a dedicated senior planner on your side. Not a support ticket.
📈
Handover & Transfer
Full documentation and team training at end of mission so you run independently from day one after.

Want us to run it
for you?

DemandPlanner is built to be self-serve — most clients run it themselves from day one. But for teams that want a senior demand planner in their corner, we offer a fully managed option as a premium service layer on top of the platform.

📊
Monthly forecast run & delivery
We run all algorithms, select the best per SKU, and deliver the 12-month forecast.
⚙️
Supply plan & order recommendations
ROP, safety stock, and purchase orders calculated for every branch.
📋
S&OP report prepared & presented
Monthly S&OP pack delivered — ready for your leadership meeting.
🎯
Quarterly accuracy audit
We measure forecast error, flag drift, and tune the models every quarter.
💬
Direct access to your planner
Slack or email access — ask questions, request scenarios, get answers.
Who this is for
No in-house demand planner
You need the function but not the headcount.
Team at capacity
Your planners are running the business — not optimising it.
Launching a new market
New region, new category, no history. We bootstrap it.
Post-merger integration
Multiple SKU bases, conflicting data, tight deadline.
How it works
01
Brief submitted
You fill in the mission form — duration, rhythm, expectations.
02
We respond in 24h
Availability confirmed, engagement structure proposed.
03
Mission starts
We are embedded in your team — on Slack, in your data, on your cadence.
04
Handover
Documentation, training, and clean exit at end of mission.

We respond within 24 hours · No commitment required · info@cmesolutions.fr

Mission Brief · CME Solutions

Tell us about your project.

We'll review your brief and respond within 24 hours with availability and a proposed structure.

We reply within 24 hours · No commitment required

Guided Onboarding

We'll walk through it
with you.

Share a few details and we'll personally guide you through your first forecast, supply plan, and accuracy report on your own data.

We'll reach out within 24 hours to schedule a time that works for you.

DemandPlanner · What You Actually Get

Stop reacting.
Start deciding.

Most distributors discover a stockout after it happens and an overstock after cash is locked. DemandPlanner flips that — every alert, every buying decision, and every S&OP cycle happens before the problem.

01 · AI Forecasting Engine

6 algorithms race. The best one wins. Automatically.

Every SKU has a different demand pattern — seasonal, trending, intermittent, volatile. DemandPlanner detects the pattern and deploys the right algorithm automatically, then blends two when they're close. No configuration. No manual tuning.

  • WMA · SBA · Croston · TSD · Holt-Winters · ARIMA — all running in parallel
  • Ensemble blending when two models score within 5% of each other
  • Stockout months imputed before training — zero history gaps distorting the model
  • Annual guardrails cap runaway projections on new or volatile SKUs
Real impact
Clients average +31% forecast accuracy in the first 90 days vs their prior Excel process.
Algorithm tournament · SKU_0167
WMA
14.2%
SBA
22.1%
ARIMA
8.4% ✓
H-W
11.3%
TSD
16.8%
Croston
13.1%
Forecast vs Actuals
Selected
ARIMA(1,1,0) · MAPE 8.4%
02 · Supply Planning

The right order, at the right time, in the right quantity — every cycle.

The supply plan calculates safety stock, reorder points, and order quantities directly from your forecast — using real demand volatility and lead time data. Not rules of thumb. Not gut feel.

  • Safety stock derived from actual demand σ × lead time uncertainty — not "2 weeks cover"
  • Stockout risk flagged 6–8 weeks before it hits — with AI recovery options
  • Overstock detected with exact capital locked and monthly holding cost
  • Confirm orders directly from the plan — they appear as transit orders immediately
  • NPI mode for new products — analog SKU scaling or manual monthly forecast
Real impact
Clients release 18–25% of locked inventory capital in the first 90 days by eliminating systematic overstock.
Supply plan · SKU_0167 · next 3 orders
🔮 Anticipatory €3,422
1,488 units → 01 Jul 2026
🔮 Anticipatory €3,892
1,692 units → 31 Dec 2026
⚠ Reactive €1,946
846 units → 31 Mar 2027
Safety stock
110 u
Lead time
75d
Daily vel.
6.6 u/d
⚠ Stockout risk · Jun–Jul 2026. Earliest arrival 16 Jul · 45 days too late. AI recovery: split delivery reduces gap to 15d.
03 · S&OP Planning

Statistical baseline → commercial override → locked plan. In one tool.

No more exporting to Excel for the sales team to adjust, then re-importing. Override any SKU directly, apply % uplifts for promotions, compare against your financial budget, and lock the consensus plan — the supply plan updates automatically.

  • Rolling 12-month consensus with statistical baseline + commercial layer
  • Financial budget comparison — see gap vs consensus instantly
  • Full audit trail — who changed what, when, and why
  • Approve and lock — supply plan recalculates immediately
S&OP cycle · monthly workflow
01
Statistical forecast generated
6 algorithms · auto-selected per SKU
Auto
02
Commercial adjustments
Promotions, NPI, price changes overlaid
Override
03
Budget comparison
Consensus vs financial plan — gap visible
Align
04
Consensus approved & locked
Supply plan regenerates automatically
Locked
04 · Expiry Tracking & Cash Flow

At-risk stock flagged before write-offs. Cash out planned 12 months ahead.

For distributors handling perishable or expiry-sensitive products — DemandPlanner tracks every batch at lot level with MRSL rules, excludes at-risk stock from the supply plan automatically, and shows a 12-month cash flow projection offset by your supplier payment terms.

  • Lot-level batch tracking with MRSL (Minimum Remaining Shelf Life)
  • At-risk batches excluded from usable stock in supply plan
  • Action Required queue flags expiry risk 90 days ahead
  • 12-month cash flow projection — when cash goes out, when stock arrives
  • Payment terms offset applied per supplier
Expiry dashboard · SKU_0001
BATCH-001A ✓ Usable
354 units
Jan 2027
BATCH-001B ⚠ At Risk
237 units
Jul 2026
DEFAULT ✓ Usable
301 units
No expiry
BATCH-001B excluded from supply plan. 237 units at risk · expires in 40 days · MRSL 90d.
05 · ABC-XYZ & Accuracy Audit

Know which SKUs need attention. Measure every forecast the moment actuals arrive.

Automatic portfolio segmentation by value (ABC) and demand variability (XYZ) — so A-X SKUs get the tightest safety stock and C-Z SKUs don't waste capital. Every forecast scored monthly with WMAPE and bias per SKU, not a global average.

  • ABC-XYZ matrix auto-computed — service levels set per segment
  • WMAPE + BIAS tracked per SKU, per branch, per month
  • Algorithm drift alerts — underperforming SKUs flagged automatically
  • Exportable accuracy report ready for your S&OP pack
WMAPE · Portfolio
8.3%
Industry avg: 22–35%
BIAS · Direction
+1.2%
Slight over · safe
SKUs Improving
87%
vs prior 6 months
Accuracy Gain
+31%
first 90 days avg
Accuracy trend · 6 months
ABC-XYZ matrix · portfolio
A-X
High value · stable
A-Y
High value · variable
A-Z
High value · erratic
B-X
Mid value · stable
B-Y
Mid value · variable
B-Z
Mid · erratic
C-X
Low · stable
C-Z
Low · erratic
See it on your own data in 5 minutes.
Upload your sales history CSV — live forecast, supply plan, and expiry dashboard. No credit card. No ERP needed.
How DemandPlanner Works

From raw sales data
to a 12-month buying plan.

No ERP required. No consultants. Upload a CSV and your first forecast is live in minutes.

📂
01
Upload your sales history
A simple CSV with SKU, date, and quantity. DemandPlanner handles the rest — cleaning, imputing stockout months, and structuring the data for each algorithm.
🏆
02
6 algorithms compete per SKU
WMA, SBA/Croston, TSD, Holt-Winters, ARIMA, and ensemble blending. Each is backtested against your actual history. The lowest-error model wins — automatically, per SKU.
📦
03
Supply plan computed overnight
Safety stock, reorder points, order quantities, and a 12-month buying calendar — all calculated from your forecast, lead times, and service level targets.
📋
04
S&OP layer applied
Your commercial team layers in promotions, price changes, and new launches. Overrides are tracked with full audit trail. One click locks the consensus plan.
📈
05
Monitor, measure, improve
Every month, forecast accuracy is scored per SKU. Underperforming models are flagged. The engine self-corrects as new data arrives.