[ AI dynamic pricing ]

Set Each Price From Demand, Stock and Competition, Not Guesswork

We build pricing models that learn how demand responds to price, track competitors and inventory, and recommend prices inside the floors, ceilings and rules your team controls.

Plan Your Pricing PilotHow It Works
Floors, ceilings and margin rules you set
Guardrails
Floors, ceilings and margin rules you set
Price changes proven with experiments
Tested
Price changes proven with experiments
Automatic or human sign-off, your choice
Approved
Automatic or human sign-off, your choice
Supermarket shelves stocked with bottled drinks and price labels

Sparkling water, 6 pack (example)

Expected revenue by price

$12.64floor $10.40ceiling $13.60

Recommended $12.64, inside your guardrails

[ How we build it ]

How We Build Your Pricing System

We start with recommendations your team approves, then automate where results are proven.

  1. 1

    Pricing audit

    We review price history, sales, costs and competitor data to see where elasticity can be measured.

    Pricing opportunity map

  2. 2

    Elasticity models

    Demand response to price is modeled by product group, season and channel.

    Elasticity estimates

  3. 3

    Rules and recommendations

    Prices are optimized for your goal within the guardrails you set.

    Recommended prices

  4. 4

    Experiments and rollout

    Controlled tests prove the gain before recommendations go live automatically.

    Live pricing with results

[ The problem ]

Why Static Prices Leave Money on the Table

Prices set once a quarter cannot keep up with demand, stock or competitors.

  • 01

    Underpricing in peaks

    High-demand periods sell out at prices that could have been higher.

  • 02

    Overpricing in lulls

    Slow periods leave stock unsold until a deep markdown.

  • 03

    Competitor blind spots

    Rivals change prices daily while your team checks weekly.

  • 04

    Manual repricing

    Updating thousands of SKUs by hand is slow and error-prone.

[ Features ]

What the System Does

Pricing power with control kept in your hands.

01 / 06

Elasticity modeling

How each product or group responds to price changes.

[ What we measure ]

What We Measure With You

Targets are set per product group; results are measured with controlled experiments.

01
Revenue
Revenue per product group against control
02
Gross margin
Margin after price changes
03
Sell-through
Stock sold before markdown or expiry
04
Price index
Your price position against key competitors
[ Industries ]

Where It Fits

  • 01eCommerce and retailCatalog-wide pricing and markdown optimization.
  • 02Travel and hospitalityRoom, fare and package pricing by date and demand.
  • 03SaaSPlan and packaging tests with clear guardrails.
  • 04Wholesale distributionCustomer and volume-based price lists.
  • 05Parking and mobilityTime and demand-based rates.
Shopper choosing a product from a store shelf
[ Guardrails first ]

Your Team Sets the Limits. The Model Works Inside Them.

Floors, ceilings and margin rules come first, then controlled experiments show the real effect of every change.

Book a Pricing Call
[ Stack ]

Pricing Stack

Models, experiments and a pricing console for your team.

Models

  • scikit-learn
  • XGBoost
  • PyMC
  • Reinforcement learning

Data

  • PostgreSQL
  • Snowflake
  • dbt
  • Apache Kafka

Serving

  • FastAPI
  • Redis
  • Docker

Apps

  • React dashboard
  • Shopify
  • Magento
[ Cost ]

Dynamic Pricing Cost

Indicative starting prices. Competitor data feeds are billed separately.

Get a Fixed Quote

Pricing assessment

Data audit and elasticity study for one product group

3 to 4 weeks

from$3,500

Pricing engine

Recommendations, guardrails, console and experiments

8 to 12 weeks

from$15,000

Automated pricing

Catalog-wide pricing with competitor feeds and automation

4 to 6 months

from$40,000

[ Client voices ]

What Commercial Teams Say

Rated 4.9/5 on average across the platforms clients review us on.

  • Clutch5.0
  • GoodFirms5.0
  • Google5.0
  • Upwork4.9
I had the pleasure of working with Sajal Tech on a travel website, and it was an incredible experience from start to finish. They demonstrated professionalism, clear understanding of requirements, and excellent communication throughout.
DKDaniel KwekaCEO, Darius Digital
[ FAQ ]

Dynamic Pricing Questions

Still deciding? A 30-minute call usually answers the rest.

Ask Us Directly

  • Only if you choose that. Most clients start with recommendations their team approves, then automate the groups where results are proven.

  • Yes. Floors, ceilings, margin targets, maximum change per day and rules for key items are all set by your team.

  • Through data providers, marketplace APIs or approved collection methods, depending on your market.

  • Rules vary by country and sector. We design to your legal guidance and can limit pricing to channel, region or time.

  • We run controlled experiments that compare optimized prices with a control group, so gains are measured, not assumed.

  • In your cloud account. We work under NDA and follow ISO 27001 practices.

[ Related solutions ]

[ Contact ]

Let's build your next product together

Book a free strategy call and leave with a clear plan and estimate. No commitment.

  1. 01Pick a time that suits you
  2. 0230 minutes on scope, stack, timeline and budget
  3. 03Fixed-price proposal, NDA on request
Prefer email? contact@sajaltech.com