AI · Demand forecasting

AI Demand Forecasting

Forecasts and reorder suggestions that beat last year's spreadsheet.

We build demand forecasting for retailers and distributors: SKU and location forecasts that handle seasonality, promotions and festivals, reorder and transfer suggestions, and stock-out and overstock alerts, measured against your current method.

  • SKU-level forecasts
  • Seasonality
  • Reorder suggestions

Free 30-minute call with a senior specialist. Reply within one business day. Based in Jaipur, working with businesses across India.

100%of agent actions logged
5governance gates
2 weeksfixed-price Discovery Sprint
Quick answer

What is AI demand forecasting?

AI demand forecasting uses sales history and signals such as seasonality, promotions and festivals to predict demand by product and location, then suggests reorder quantities. Stack18 builds it for retail and distribution, tests accuracy against your current method on your own data, and keeps buyers in control of final orders.

Last reviewed 30 October 2026 by the Stack18 delivery team in Jaipur. Security and AI governance · Pricing · About Stack18

AI Demand Forecasting at a glance
What it coversData preparation; Forecast models; Reorder and transfer suggestions; Alerts; Measurement.
Typical first stepDiscovery Sprint: 2 weeks, fixed price.
Build routeSupply Chain OS Launch: live in 4–5 weeks; from ₹2.3L, one-time, no per-user fees.
Long-term optionTransformation Pod: 12–36 months, annual contract.
Measured byForecast accuracy; Stock-out rate; Overstock value; Inventory days. Each against an agreed baseline.
GovernanceHuman approval at 5 governance gates, every AI agent action logged, NDA available on request.
Delivery teamBased in Jaipur, India. A senior specialist replies within one business day.
Is this you?

You need this when…

Tap the ones that apply to you.

Most teams we work with recognise two or three of these.

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What we deliver

AI Demand Forecasting, end to end.

Each capability is delivered by the same team on the Agentic SDLC, with your approval at every critical step.

Data preparation

Clean history is the foundation.

  • Sales and stock data from ERP
  • Cleaning of returns and outliers
  • Calendar and festival effects

Forecast models

Right model per product.

  • SKU and location forecasts
  • New-product handling
  • Accuracy by segment

Reorder and transfer suggestions

From forecast to action.

  • Reorder quantity suggestions
  • Safety stock
  • Branch transfer ideas

Alerts

See problems before customers do.

  • Stock-out risk alerts
  • Overstock and ageing alerts
  • Exception review

Measurement

Prove it beats the baseline.

  • Back-testing on your history
  • Forecast versus actual
  • Value tracking
How we work

A typical engagement, step by step.

Senior people lead every phase. Specialised AI agents on the Agentic SDLC handle the repetitive work, and nothing ships without your approval.

01Week 1

Discovery

Map how demand planning works today, the systems and data involved, and agree the first measurable outcome.

You getScope, success measures and fixed price
AgentsCompassDraft
02Weeks 2–3

Design

Design the workflows, roles, integrations and approval points for demand planning.

You getBlueprint and clickable prototype
AgentsBlueprint
03Build phase

Build in weekly demos

Your team sees working demand planning software every week, with changes agreed in the open.

You getWorking release each week
AgentsWeldGridWatch
04Go-live

Launch and support

Data migration, training, go-live support and a measured 30-day review against the baseline.

You getLive system and trained users
AgentsLaunchPulse
Offer

Start small. Scale when it works.

Every engagement begins with a short, fixed-price step so you can judge the fit before committing further. See pricing.

Start here

Discovery Sprint

Teams deciding scope and priorities before they commit.

Duration
2 weeks
Pricing
Fixed price
  • Scoped plan and timeline
  • Team and fixed price
  • Process map or prototype
Start with Discovery Sprint
Ready-made route

Supply Chain OS Launch

Teams that want a proven base they can extend.

Duration
Live in 4–5 weeks
Pricing
From ₹2.3L, one-time, no per-user fees
  • Pre-built modules to configure
  • Data migration and training
  • Extend with custom work later
Discuss Supply Chain OS Launch
Long-term

Transformation Pod

Multi-system programmes that run for years.

Duration
12–36 months
Pricing
Annual contract
  • Dedicated cross-functional team
  • Quarterly business reviews
  • One accountable partner
Discuss Transformation Pod
Proof of capability

What we have shipped, and what a typical engagement looks like.

Delivered projects link to the full case study. Illustrative scenarios describe typical engagements and are not named client results.

Illustrative scenario

Multi-branch distributor

Challenge
Ordering by experience; fast movers out of stock before festivals.
What we do
Back-tested SKU forecasts with reorder suggestions for buyers.

Pilot scoped in 2 weeks

171modules across 6 ready-made solutions, each priced in rupees
10specialised AI agents on the Agentic SDLC
5human governance gates before anything reaches production
2018founded in Jaipur by Prateek Mathur
₹0per-user licence fees on every ready-made solution
1 daysenior specialist reply to every enquiry
Free for qualified businesses

Free demand planning review

Tell us where demand planning hurts most. We map what to fix first, whether ready-made or custom fits, and a realistic first step.

  • Where to start and why
  • Ready-made vs custom view
  • Indicative timeline
Request your free demand planning review
Outcomes we measure

We agree targets before we start.

Every engagement has a baseline and a target on the measures that matter to you, reported at every read-out.

Forecast accuracybaseline vs target
Stock-out ratebaseline vs target
Overstock valuebaseline vs target
Inventory daysbaseline vs target
Order planning timebaseline vs target
Fill ratebaseline vs target
FAQ

AI Demand Forecasting questions.

Ask us anything
How much history do we need?

More history helps, especially for seasonal items. We assess your data in a two-week Discovery Sprint.

Does it replace our buyers?

No. It suggests quantities and buyers approve or adjust.

How do you prove it works?

We back-test against your current method on your own history before any rollout.

Can it handle festival demand?

Yes. Calendar and festival effects are included, with your input on key events.

What systems does it connect to?

Your ERP, Tally exports or inventory system for sales and stock data.

Start a conversation

Let's scope your AI Demand Forecasting project.

Tell us where you are and where you want to be. A senior specialist will reply within one business day with next steps.

  • Free 30-minute consultation
  • Indicative estimate after the call
  • NDA available on request

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