Skip to content
Rivac AI Labs
Vertical AI Solutions: Fintech, Retail, Real Estate & Manufacturing

Demand Forecasting & Dynamic Pricing

Overstock ties up cash and understock loses sales, and both usually trace back to a forecasting process built on last year's numbers and a gut-feel adjustment. This service builds predictive models that forecast demand at the SKU and location level and, where it makes sense, adjust pricing in real time against demand, competitor moves, and inventory position. It's for retailers and e-commerce operators still forecasting in a spreadsheet or relying on static reorder points that don't react to actual demand signals. The models plug into your existing inventory and pricing systems rather than replacing them, so your team keeps control over final pricing rules and guardrails. The result is less capital tied up in the wrong inventory and pricing that reacts to real demand instead of a quarterly review.

This is a capability we deliver for you as a service, not a role we’re hiring for.

How We’d Approach This

A clear, staged plan, not a black box

These are the service-specific steps inside our six-step process.

  1. 1

    Diagnose current forecast accuracy and pricing rules against actual sell-through and stockout history.

  2. 2

    Pilot the forecasting model on a subset of SKUs or locations, benchmarked against your current forecast.

  3. 3

    Review forecast accuracy and proposed pricing guardrails with merchandising and finance before wider rollout.

  4. 4

    Launch across the full catalog with pricing rules your team approves and can override at any time.

What You Get

Deliverables from this engagement

  • SKU- and location-level demand forecasting model
  • Dynamic pricing engine with configurable guardrails
  • Forecast accuracy report benchmarked against prior method
  • Integration into your existing inventory and pricing systems
  • Ongoing model retraining as seasonality and demand shift

Six Ways We Could Architect This

Different engagement, different build, pick the shape that fits

There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.

Read all 6 architectures as text

Lean Fast-Start Architecture

Data Input

  • Historical Sales Export
  • Current Inventory Levels

Simple Model

  • Baseline Forecasting Model
  • SKU Level Forecast Output

Testing

  • Benchmark Against Prior Forecast
  • Manual Accuracy Review

Rollout

  • Pilot on Subset of SKUs
  • Merchandising Feedback
  • Reorder Point Adjustments
  • Manual Price Guardrails Set
  • Finance Review of Pilot Results
  • Plan for Full Catalog Rollout

Cloud-Native / Managed Services Architecture

Data Layer

  • POS and Sales Data
  • Inventory and Supply Data
  • Cloud Data Warehouse

Managed ML Platform

  • Managed Feature Store
  • Managed Forecasting Training Service
  • Model Registry

Pricing Layer

  • Dynamic Pricing Engine
  • Pricing Guardrail Service

Operations Layer

  • Inventory System Integration
  • Pricing System Integration
  • Forecast Accuracy Dashboard
  • Scheduled Retraining Pipeline

Event-Driven & Automation-First Architecture

Triggers

  • New Sales Data Ingested
  • Daily Forecast Refresh Trigger
  • Competitor Price Change Detected
  • Pricing Signal Event

Automation Layer

  • Auto Demand Forecast Update
  • Auto Price Recommendation
  • Auto Reorder Point Update

Guardrail Gate

  • Within Approved Pricing Guardrails
  • Flag for Manual Review
  • Auto Applied Price Update

Delivery

  • Inventory and Pricing System Updated
  • Daily Performance Report

Enterprise-Grade & Compliance-Ready Architecture

Governance Layer

  • Pricing Policy Framework
  • Margin Protection Rules
  • Regional Pricing Compliance Rules

Secure Pricing Operations

  • Access Controlled Pricing Engine
  • Role Based Override Permissions
  • Encrypted Sales and Cost Data

Auditable Model

  • Forecast Model Version Log
  • Pricing Change Audit Trail
  • Guardrail Exception Log

Compliance Operations

  • Redundant Forecasting Infrastructure
  • Finance Sign Off on Guardrails
  • Signed Off Governance Report

AI-Augmented, Human-in-the-Loop Architecture

Input Layer

  • Sales and Seasonality Data
  • Competitor and Market Signals

AI Forecasting Layer

  • AI Demand Forecasting Model
  • Draft SKU Level Forecast
  • Draft Price Adjustment Proposal

Human in the Loop

  • Merchandising and Finance Review
  • Forecast and Price Approved
  • Adjust Assumptions and Retrain
  • Human Approved Forecast and Price

Delivery

  • Pushed to Inventory System
  • Pushed to Pricing System
  • Actual Sell Through Fed Back

Integration-Heavy / Ecosystem-Connected Architecture

Client Systems

  • E-commerce Platform
  • Inventory Management System
  • ERP Financial System

Forecasting Core

  • Demand Forecasting and Pricing Engine
  • Unified Product Signal Model

Two Way Sync Layer

  • Warehouse Management Sync
  • Pricing Display Sync
  • Supply Chain Team
  • Merchandising Team

Shared Governance

  • Joint Review with Finance and Merchandising
  • Published Forecasting Architecture
  • Ongoing Forecast Accuracy Review

More in Vertical AI Solutions: Fintech, Retail, Real Estate & Manufacturing

Ready to get started?

Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.

Talk to us about Demand Forecasting & Dynamic Pricing

Most engagements like this start as a $500–$2,500 pilot, see full pricing.

Questions? Book a free call