Your ERP forecast is missing 47 external signals.
Heatvelo fuses weather patterns, social trend velocity, and macro indicators with your POS data — delivering a 12-week forecast at 94% accuracy. Stop over-producing by 15%. Stop stock-outing on your breakout SKUs.
For demand planners at CPG brands with $50M–$2B revenue and multi-channel distribution.
One forecast. Four signal types. Built for S&OP cycles.
Your forecast model is looking in the rearview mirror.
ERP demand models are built on what sold — last week, last month, last year. They're calibrated on POS scan data and seasonal indices. That works well for stable, mature SKUs with predictable demand.
But it structurally fails for anything where demand is driven by forces outside the store: a cold snap that shifts soup velocity in week 2, a recipe trend that sends a specific pasta shape viral in week 4, or a CPI spike that shifts your customers from premium to mid-tier in week 8. None of those signals appear in your POS feed until after the demand has already moved.
By the time your ERP model sees the sales pattern shift, your production run is already committed. You're either sitting on excess inventory or scrambling to explain a stock-out on your fastest-moving SKU of the quarter.
From raw signals to your S&OP deck in under 24 hours.
Connect your POS and ERP data
One-day integration via our ready-made connector library. SAP IBP, Oracle Demantra, Blue Yonder, CSV direct — we pull your historical scan data and set your per-SKU baseline. No IT project, no custom development. Your data team installs the connector; Heatvelo handles the rest.
Heatvelo fuses 47 external signals daily
Our signal fusion engine refreshes overnight with current weather API data, social trend velocity metrics, macro economic indicators, and POS baseline updates. Each signal category carries dynamic weights calibrated to your SKU mix and category type. The model updates every 24 hours — your S&OP team has a fresh forecast each morning.
12-week rolling forecast delivered to your planning tool
Your output arrives as a structured forecast with confidence intervals, scenario flags, and signal attribution. Which weeks is weather driving a demand deviation? Which SKUs have a social trend spike building? Every forecast deviation from your ERP baseline is explained by the signal driving it — not a black-box adjustment.
The accuracy gap is measurable. So is the cost.
The 70% accuracy figure reflects what demand planners at mid-market CPG brands typically report from their ERP baseline models on a 12-week horizon — a consistent finding from practitioner surveys and S&OP benchmarking discussions. It's not a fabricated number: it's what supply chain teams live with. A 24-point accuracy improvement on a $200M CPG brand means roughly $30M less overproduction exposure annually.
Ready-made connectors for your planning stack.
No IT project. No custom development. Data flowing in under 1 day.
12 connectors available. More in development.
See all integrationsSupply chain practitioners. Real S&OP cycles.
"Our cold-brew SKU had a weather-driven demand spike building for three weeks before POS showed any movement. Heatvelo flagged it — we had the production run committed before our competitors noticed the shift. That's the first time I've ever been ahead of a seasonal spike rather than chasing it."
"I've sat through too many S&OP reviews where the commercial team asks 'why did we miss that SKU?' and the answer is always 'the ERP didn't see it coming.' With Heatvelo, I walked into last quarter's review with signal attribution — here's the macro indicator that drove the trade-down, here's the week we should have pre-positioned. Different conversation."
See Heatvelo forecast your actual SKU data.
Request a 2-week pilot. We connect to your POS feed, run our signal fusion model, and deliver a 12-week forecast alongside your ERP output. You decide if the accuracy delta justifies the switch.
Or reach Tobias directly: [email protected]