Compass
Intelligent Demand and Input Planning
Know what is coming next.
Probabilistic demand forecasting + input-side planning (raw materials, energy, labor). Feeds Solutions 1–3 with a unified view of what's coming in and what's going out. Designed to compete head-to-head with category leaders on accuracy and time-to-value.
What you get
Forecasting that closes the loop with action.
Most demand-forecasting tools stop at producing a number. Solution 4 doesn't — it ships with three companion Optimizations that translate forecasts into procurement, energy, and production actions. The forecast is in service of decisions, not the other way around.
Anchor Optimizations:
- Probabilistic Demand Forecaster — replace point forecasts with p10/p50/p90 quantiles per SKU per channel. Up to 30% reduction in forecast-error standard deviation vs single-point forecasts.
- Demand-Aware Raw-Material Buyer — pull buy-orders forward when forecasted demand spikes. Procurement teams stop firefighting.
- Energy Procurement Optimizer — schedule energy purchases (futures, spot) against forecast load. Substantial value at mill- or smelter-scale energy bills.
Compass roadmap
5 Optimizations. 0 live, 2 in development, 3 on the roadmap.
Each Solution ships as a sequence of bounded Optimizations. The live ones can be adopted today; the in-development ones are funded and scheduled; the roadmap ones are scoped, not yet committed. Customers can join at any phase — pilot what's live, co-fund what's in development, or shape what's still on the board.
Available now
0In development
2-
Probabilistic Demand Forecaster
Calibrated demand quantiles (P10 / P50 / P90) per SKU per period, replacing point forecasts. Downstream planning consumes the quantiles directly.
- Effort
- L
- Impact
- XL
- Target
- 2027 Q3
-
Raw-Material Risk Hedging
Model the joint distribution of demand and input-commodity prices, then optimize procurement timing + hedging to reduce input-cost variance.
- Effort
- L
- Impact
- L
- Target
- 2027 Q4
On the roadmap
3-
Energy-Window Planning
Forecast plant energy consumption against grid-tariff schedules and renewable-availability windows. Feeds Atlas's energy-aware scheduler.
- Effort
- M
- Impact
- L
- Planned
- 2028 Q1
-
Labor-Capacity Forecaster
Forecast skilled-labor availability against planned production mix. Surfaces hiring lead-time gaps before they constrain throughput.
- Effort
- M
- Impact
- M
- Planned
- 2028 Q2
-
Unified Sales-to-Operations View
Single shared forecast surface for Sales, Demand Planning, and Operations — replacing the three-spreadsheet handoff that creates blind spots today.
- Effort
- L
- Impact
- L
- Planned
- 2028 Q3
Effort and Impact are estimated on a S / M / L / XL scale (1 dot to 4 dots). Effort = engineering work required to ship; Impact = expected operational improvement at typical industrial scale. Estimates are KPT internal benchmarks and are validated against your data during the 30-day shadow-run PoC before any commitment to scale.
Where this Solution lands
Industries we've prototyped this for
Beverage
High-velocity demand + sell-in / sell-out forecasting + dense promo calendar.
See Beverage →
Confectionery
Seasonal + NPI-heavy demand patterns + raw-material procurement on long lead times.
See Confectionery →
Pulp & Paper
Massive energy bills make Energy Procurement Optimizer the highest-impact Optimization.
See Pulp & Paper →
Mining
Energy + diesel + explosives procurement under commodity price volatility.
See Mining →
Summer 2027
Locked in. Pre-commitments welcome.
Solution 4 is scoped against the head-to-head competitive set. Customers who pre-commit during the design phase lock first-year pricing, get input into the model priors, and participate in the validation cohort.