Inventory Intelligence for Modern Retail

Predict stockouts
before they happen

SupplyPulse fuses real-time weather, social trends, and your own sales history into a single predictive engine — so you order the right products at exactly the right time.

Forecast vs. Actual Inventory — SKU group: Outdoor Apparel Live
Forecast Accuracy 94.7% ↑ +2.3% vs last month
Stockouts Prevented 138 ↑ This quarter
Overstock Reduction $412k ↑ Saved in carrying cost
Signals Active 27 Weather · Trend · POS

Trusted by retail operations teams

Meridian Retail Apex Brands NorthCo Fenwick Group Vantage Sports Luxline
What we do

Every signal that moves inventory, in one engine.

🌦️

Weather Intelligence

72-hour hyper-local forecasts mapped directly to SKU-level demand shifts. A cold front in Minneapolis shouldn't surprise your buying team.

📈

Trend Detection

Monitors social media velocity, search trends, and news events to surface demand spikes 14 days before they hit your POS system.

🔁

Sales Pattern Learning

Your historical sales data trains continuously updated models that adapt to promotions, seasonality, and category shifts automatically.

Instant Reorder Alerts

Configurable push alerts and ERP integrations ensure reorder recommendations reach your buying team with a full lead-time buffer.

🧩

Multi-location Sync

Aggregate demand signals across warehouses, stores, and DCs. Redistribute stock proactively instead of reactively.

🛡️

Confidence Scoring

Every forecast ships with a plain-English confidence score, data lineage, and the top three signals that drove it — no black box decisions.

Three data streams. One clear prediction.

01

Connect your data sources

Plug in your POS, ERP, or ecommerce platform in minutes via native integrations. SupplyPulse handles the normalization.

02

External signals are ingested automatically

Weather APIs, trend feeds, and macroeconomic indicators are pulled continuously — no setup required on your end.

03

The model generates daily forecasts

SKU-level demand predictions with reorder recommendations are pushed to your team every morning before market open.

04

Your buyers act, the model learns

Every accepted or overridden recommendation feeds back into the model. It gets sharper the more you use it.

Signal Feed — Active Now
Cold snap — Chicago metro
Weather · 3 days out · 7°F below avg
HIGH IMPACT
Viral TikTok — fleece vests
Social · +340% search volume · 48h
HIGH IMPACT
Q4 promo window approaching
Calendar · 18 days · 12 SKUs affected
MODERATE
New POS data synced
Internal · 1,204 transactions · Just now
UPDATED
🎯
Reorder fleece vests (SKU-7741) — 320 units

Confidence 96% · Lead time 6 days · Delivers before demand peak

94%
Average forecast accuracy across customer SKU catalogs
−31%
Reduction in excess inventory within 90 days of deployment
2.4×
Faster response to demand spikes vs. manual review processes
6 wk
Median time to measurable ROI after initial integration
From the field

What ops teams actually say.

★★★★★

We were sitting on $800k in overstock every quarter. Three months into SupplyPulse and that number is half what it was. The weather integration alone paid for the first year.

SK
Sarah Kim VP Supply Chain, Meridian Retail
★★★★★

I was skeptical about social trend signals. Then SupplyPulse called a fleece vest spike two weeks out that we'd have completely missed. We were the only ones in-stock when demand hit.

MR
Marcus Reid Director of Buying, Vantage Sports
★★★★★

Our buying team went from reactive to genuinely proactive in six weeks. The confidence scores matter — my team knows when to trust the forecast and when to dig deeper.

TN
Tanya Nair Head of Operations, NorthCo

Stop guessing.
Start knowing.

Join over 60 retail teams using SupplyPulse to forecast demand before it arrives.

No credit card required · Live demo in under 30 minutes