Cadence — Demand forecasting that scales your infra
Forecasts flash-sale and seasonal demand spikes per SKU, then triggers infrastructure auto-scaling and CDN pre-warming before the surge arrives — not while checkout is already timing out.
- Concurrent users handled
- 45K
- Processed in under 4 hours
- $1.8M
- Major incidents
- 0
Cadence is in active design with early-access retail partners. The calculator below is modeled on a real deployment — a D2C fashion brand we scaled through a flash sale. The full forecasting platform is being built around our first partners.
Your best sales day is also your riskiest
Demand Spikes Are Invisible Until They Hit
Flash sales, viral moments, and seasonal peaks arrive faster than a manual capacity-planning process can react to.
Outages Cost Real Revenue, Fast
A single hour of checkout downtime during a peak event can cost more than a full month of "normal" traffic.
Over-Provisioning Wastes Spend Year-Round
Most teams solve this by permanently over-provisioning for the worst case — paying peak-capacity prices 365 days a year.
Inventory and Infra Plan Separately
Merchandising forecasts demand; engineering plans capacity — usually with no shared model between the two teams.
From demand signal to live infrastructure
Forecasts Demand Per SKU
Ingests historical sales, campaign calendars, and external signals to project demand spikes before they happen — not react after traffic already climbed.
Triggers Infrastructure Scaling Directly
Connects the demand forecast straight to your cloud auto-scaling groups and CDN edge config — capacity ramps ahead of the spike, not during it.
Recommends Dynamic Pricing Moves
Surfaces pricing and inventory-allocation suggestions when demand outpaces supply, so merchandising and engineering work off the same signal.
Pre-Warms Edge & CDN Caching
Pushes hot product pages and assets to edge locations ahead of a predicted spike, cutting time-to-first-byte when it matters most.
Built for teams who own the peak moment
E-Commerce Engineering Leads
Own uptime during Black Friday, flash sales, and viral moments, and are tired of manually pre-scaling based on guesswork.
D2C & Retail Growth Teams
Run frequent flash sales and promotional drops and need infrastructure that scales as fast as their marketing calendar.
VP of Engineering / CTO
Want a single forecast that both merchandising and infrastructure teams plan against, instead of two disconnected guesses.
What would your next flash sale cost?
Modeled on a real deployment — see below for the source case study.
Illustrative estimate using a blended $10/concurrent-user/hour rate, derived from our flash sale case study ($1.8M processed across 45,000 concurrent users in under 4 hours). Your actual revenue-per-user will vary by average order value and conversion rate — this is a planning estimate, not a guarantee.
The case study behind this calculator
Case study: a D2C fashion brand expected 6x normal traffic for a flash sale. We deployed a serverless, edge-cached architecture that handled 45,000 concurrent users with zero major incidents, processing roughly $1.8M in transactions in under 4 hours.
- Concurrent Users
- 45K
- Major Incidents
- 0
- Revenue Processed
- $1.8M
- Window
- <4 hrs
We've already scaled through this
We've Already Done This at 45K Concurrent Users
Cadence's scaling model is built on a real deployment, not a lab benchmark — the same serverless, edge-cached architecture pattern that processed $1.8M with zero major incidents.
DevOps & Platform Engineering Is Our Core Business
Auto-scaling, CDN edge configuration, and event-driven architecture are what our DevOps practice builds every day — Cadence packages that expertise into a forecasting layer.
We Speak Both Merchandising and Infrastructure
Most infra tools ignore demand forecasting; most forecasting tools ignore infrastructure. Cadence is built to connect both conversations.
Frequently asked questions
Cadence is in early access. The demand-and-revenue calculator on this page uses a real conversion ratio derived from an actual client deployment. The full forecasting-to-auto-scaling pipeline is being built with our first retail design partners.
Standard auto-scaling reacts to load that's already arrived. Cadence forecasts demand ahead of time from sales data and campaign calendars, so scaling happens before the spike, not during it — and it feeds the same forecast to merchandising and pricing decisions.
For the full forecasting product, yes — that's the input that makes predictions accurate to your business. The calculator on this page works with just your current traffic and expected event multiplier, no data sharing required.
A conversation about your upcoming peak events (flash sales, seasonal launches), a technical review of your current infrastructure, and a scoped pilot around your next major traffic event.
Got a big sale coming up?
Become an early access partner and let's scale your next event together.