Demand & elasticity forecasting
Models account for seasonality, promotions, channels, region, availability, competitors, and the “price effect”.
Real‑time pricing
up to +18% revenue
AI pricing that hits the mark.
STRELT predicts demand, elasticity, and competitor moves — then recommends the right price for every SKU. You control the strategy; the platform delivers the speed.
+11–18%
revenue
−22%
margin leakage
7 days
to impact
No “black box”: explainability, rules, rollbacks, and a full audit trail for every decision.
marketplace
retail
D2C
electronics
beauty
One platform — your entire revenue loop
From market signals to the final price: integrations, scenarios, explainability, risk controls.
Rules Engine + margin guardrails
Minimum margin, price corridors, storefront rules, brand carve‑outs, inventory constraints, and legal compliance.
Fast experimentation
A/B, holdout, SKU groups, geo splits. Metrics: revenue, margin, share, inventory turnover.
Integrations in days, not months
CSV/FTP, APIs, webhooks. Connect catalogs, inventory, orders, competitor pricing, and ad data.
Explainable AI
For every recommendation — key drivers, confidence, scenarios, and expected impact.
Security & audit
Decision logs, roles, approvals, manual mode, one‑click rollback, and anomaly control.
How STRELT works
The pipeline is built so you can trust the system — and always keep your hands on the wheel.
01
Signals
Sales, inventory, storefront, promo, competitor, ads, and seasonality data.
02
Models
Demand forecast, elasticity, cannibalization risk, and the probability of conversion loss.
03
Strategy
Rules: margin, corridors, brands, clearance, hero SKUs, and inventory constraints.
04
Delivery
Push to CMS/ERP/marketplaces, approvals, rollbacks, and anomaly monitoring.
A 14‑day pilot
Start in “shadow mode”: recommendations run in parallel and are compared against your current strategy — with zero risk to sales.
48h
data connected
7d
first insights
14d
pilot launch
Use cases where STRELT shines
Great for rapid growth — and for stabilizing margin across large catalogs.
Marketplace
Electronics, 45k SKUs
+14%revenue
−19%write‑offs
+6%margin
Automatic price adjustments vs competitors while preserving minimum margin and leader rules.
D2C
Beauty, subscription
+9%LTV
+12%CR
−8%CAC
Optimize the price×promo×shipping mix — without hurting conversion and with higher retention.
Retail
Home & garden, seasonal
+21%turnover
−27%stockout
+5%margin
Seasonal corridors and clearance scenarios by SKU clusters and regions.
STRELT removed manual “firefighting” and made control explicit: what changes, why, and what impact to expect. The best part: fast, low‑risk experiments.
Pricing
Start with free recommendations. When you're ready — enable auto‑apply and experiments.
Pilot
For your first SKUs and validating impact
0 ₽
/ 14 days
- Shadow‑mode recommendations
- CSV export
- Basic margin rules
- 1 data integration
Most popular
Growth
For systematic growth and control
from 149k ₽
/ mo
- Rules Engine (corridors, brands, leaders)
- API/webhook integrations
- Explainability & decision audit
- Anomaly monitoring
Enterprise
For large catalogs and complex workflows
Custom
/ year
- Experiments (A/B, holdout)
- RBAC, SSO, private deployment
- Custom models/features
- SLA & a dedicated engineer
FAQ
The most common questions — short and to the point. If you want, I’ll show a demo on your data.
Is this an “auto‑pricer”? I need control, not a robot.
STRELT is control + speed. Start in shadow mode: the system recommends, you approve. Auto‑apply is enabled per segment with strict guardrails.
How much data do the models need?
Typically 3–6 months of sales and inventory is enough. For “cold” SKUs we use hierarchies, similar items, and category features.
What if a recommendation is wrong?
You get corridors, change limits, manual approvals, and one‑click rollback. Plus anomaly monitoring that automatically blocks risky actions.
Ready to hit the mark?
We’ll run a 14‑day pilot: connect data, configure rules, demonstrate impact — and only then enable automation.
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