Stop losing money between plan and action
Why supply chain planning leaders recommend us
Real stories from supply chain planning leaders who've faced the same stockouts, inventory waste, and manual workarounds you have.
“Impressed by the knowledge and fast results of Horizon. Together we turned plans into action in no time.”
“After 40+ years of implementing different planning tools, Horizon is by far the easiest to set up and adapt. It combines strong models with a flexibility we haven't seen elsewhere.”
“What stood out was how quickly our team could use Horizon and how easily it was integrated with our current systems: the planning team saw the impact on their day-to-day immediately, and it improved collaboration and decision-making from a management perspective.”
Frequently Asked Questions
It goes beyond just sales forecasting by diving deeper into Item-Location level insights, helping companies:
Anticipate demand changes caused by seasonality, promotions, and market shifts.
Align production, procurement, and inventory with real demand patterns.
Avoid lost sales or excess inventory that ties up capital.
While a sales forecast looks at revenue targets, demand planning focuses on units and timing ensuring operations stay synchronized with market needs.
It’s the bridge between financial goals and operational execution.
Here’s how leading organizations typically approach it:
Data collection: Pulling sales, orders, and shipment history from ERP or CRM systems.
Data cleaning: Removing outliers and adjusting for promotions, stockouts, or unusual events.
Portfolio management: Incorporating new product launches (NPI) and managing product phase-outs.
Forecast creation: Applying statistical or ML-based models to generate forecasts at the right aggregation level.
Collaboration: Aligning with sales, marketing, and finance to capture market intelligence.
Performance tracking: Measuring accuracy, forecast value add (FVA), and continuously refining models.
Integration with S&OP or IBP: Ensuring the demand plan aligns with supply, financial, and business strategies. Effective demand planning isn’t just about predicting it’s about continuously improving how those predictions drive smarter decisions.
Here’s where they add value:
Detect anomalies: Identify unexpected spikes or dips in demand early.
Learn from external drivers: Factor in economic trends, weather, and even marketing campaigns.
Understand sales context: Analyze CRM notes and qualitative inputs from sales teams.
Automate updates: Continuously refresh forecasts as new data streams in, making plans more adaptive. Rather than replacing human planners, AI acts as a co-pilot amplifying their decision-making power and giving them real time visibility into changing market dynamics.
Here’s how it helps:
Automated forecasting: Uses historical data and AI models to produce reliable baseline forecasts.
Smart alerts: Detects outliers or sudden shifts in sales trends.
Change tracking: Keeps a record of planner overrides for transparency and accountability.
Team collaboration: Allows planners, sales, and finance to align on a single, real-time plan.
Scenario Planning: Scenario Planning let users test multiple demand scenarios instantly.
Integration: Connects seamlessly with ERP, inventory, and supply planning systems. The result? Fewer surprises, faster consensus, and more confidence in every forecast.
Here’s what makes it stand out:
Smart forecasting engine: Automatically selects the best-fit statistical or machine learning model based on product behavior.
Collaborative workflows: Sales, finance, and planners work together on one live platform no version chaos.
Proactive recommendations: Horizon flags risks, forecast variances, and opportunities for adjustment.
Custom flexibility: Planners can adjust models, override forecasts, and tailor parameters to their business.
Full transparency: Every change is logged for accountability and auditability. In short, Horizon gives planners AI-level precision with human-level control creating forecasts that are both data-backed and business-ready.
What is a Decision Execution Platform?
It sits between planning insight and business action: it flags what changed, explains why it matters, ranks the decision, assigns an owner, tracks the work, and learns from the outcome.
Signals become decisions
Forecast drift, stock risk, supplier delay, capacity overload, and sales changes are converted into one decision object.
Decisions get owners
Every action has a named accountable person, a due date, an approval path, and the evidence needed to act with confidence.
Execution proves value
Horizon records what happened, compares expected impact with reality, and improves the next recommendation.
Where money leaks today
The expensive part isn't bad planning — it's slow execution after the plan changes.
Most businesses already see the warning signs. The gap is that the warning sits in a dashboard, an email, a spreadsheet, or a meeting note while nobody owns the next move.
Money and time value
An illustrative example for a manufacturer or distributor with $50M annual revenue, $8M average inventory, and $1.2M annual expedite cost. The exact number changes by business, but the value levers are the same.
Find the issue, chase context, align owners, approve the action.
Ranked decision, named owner, approval route, execution trace.
Why a business owner should care
You get a business control system, not another planning report.
- Less working capital trapped — decisions are ranked before inventory becomes stale or excessive.
- Fewer lost sales — service risk gets routed before a customer feels the stockout.
- Less management drag — meetings start with the top decisions, not status hunting.
- Better accountability — every approved move has an owner, a due date, and an outcome trail.
If planning shows what should happen, Decision Execution makes sure it happens
Start with one high-value execution loop, measure the time and money recovered, then expand Horizon into your daily operating rhythm.
Build My Value Case →One operating loop, repeated every day
Detect
Listen to ERP, spreadsheets, messages, forecasts, alerts, and external signals.
Rank
Score decisions by value at risk, urgency, confidence, and readiness to execute.
Decide
Show options, tradeoffs, approvals, dependencies, and the business reason.
Execute
Create tasks, reminders, owner handoffs, and system updates.
Learn
Measure whether the action worked and improve the next recommendation.
