BIRetail vs Increff vs Onebeat vs Supplymint

Most retail tools master one stage. BIRetail runs the whole loop.

If you’re already planning assortments with Increff, optimizing inventory with Onebeat, or digitizing your supply chain with Supplymint, you’ve done part of the journey. See what changes when one platform discovers the truth in your data, explains the why, decides on your rules, and executes the action — end to end.

Where each one shines

An honest look at all four

Increff, Onebeat and Supplymint are each strong at what they do. The question is what happens to the rest of the journey.

BIRetail.AI

Discover → Understand → Decide → Execute
BEST AT
Merchandising Optimization incl Allocation, Replenishment, IST, Order Planning, Assortment & Discount Reco. Additionally, includes Analytics, Conversational Q&A and execution automation – end to end

Increff

Merchandising & omni inventory

BEST AT

Algorithmic allocation, replenishment, OTB and festival-aware order planning.

Onebeat

AI inventory optimization

BEST AT

Daily SKU-store replenishments, transfers and allocation.

Supplymint

Ordering automation for apparel manufacturers
BEST AT
Procurement, vendor portal & PO tracking, stock despatch and B2B wholesale channels.

The gap most stacks leave open

Three game-changing features most tools simply don’t offer

A number everyone trusts

If finance and store ops still reconcile sales by hand, every optimizer downstream is acting on shaky data. BI-360 turns every source into one reconciled truth, refreshed nightly.

The why behind the move

Inventory tools tell you what to do. They rarely tell you why it happened. Ask BI-Q in plain English and get the ranked root cause in seconds — privately, on your own servers.

The executed action

A recommendation isn’t a result until someone acts — and most tools stop at the recommendation. Transactive Analytics™ writes it into your ERP, dispatches it, and tracks it to done.

Capability comparison · 24 capabilities

Who actually does what

Fair credit where each is strong and clear on the breadth only BIRetail brings together. Grouped exactly as our own capability review.
Capability BIRetail Increff Onebeat Supplymint
THE PLATFORM LOOP ONLY BIRETAIL CLOSES IT
Single interface: Discover → Understand → Decide → Execute
AI-led insights & improvements after every run
Recommends parameter recalibration for the next run
Natural-language Q&A across every process
Initiates the action into your ERP / messaging apps
Tracks & reports every action's non-compliance
INITIAL ALLOCATION & REPLENISHMENT
Recommend quantity to send
True rate-of-sale (ROS) ~
Demand-based upstocking ~ ~
Preferential selection on short supply
INTER-STORE TRANSFER & PULLBACK
Healthy-set consolidation
Slow-movers reduction ~ ~
Excess-stock pullout
ASSORTMENT MIX RECALIBRATION
Suggest base stock-level changes ~ ~
Algorithmic modelling
Ideal option-count recommendation
RROI & GMROI deliverables
ORDER PLANNING (PRE-SEASON)
Annual Business Plan driven ~
Considers recalibrated assortment
Depth vs width recommendation ~
Factors lunar festivals & promos
Adjusts for near-recent trends
IN-SEASON LEVERS
Open to Buy (in-season)
Discount recommendation
Core strength ~ Partial / not the focus Not positioned for it

You don’t know what all IS possible

Why BIRetail.AI scores over the rest

See the why, not just the what

Conversational root-cause AI answers “why did margin slip in the South?” in seconds, on your live data — and runs on your own servers, so your data never trains anyone else’s model.

Decisions on your rules — that improve themselves

BIRetail recommends on your decision parameters, not a fixed formula — then reads every run to retune itself before the next cycle. Explainable and self-correcting, not a black box.

From recommendation to done

It writes transfer orders, POs and markdowns into your ERP, dispatches over WhatsApp and email, tracks turnaround, escalates, and proves at month-end exactly what was executed.

One platform, 19 years in retail

Discover, understand, decide and execute in a single loop, built on two decades inside retail BI and AI — not a generic model bolted onto one slice of the problem.

Proof

Retailers who closed the loop

“Out-of-stocks down over 12%, revenue up 6–7%. The shelves finally match the demand.”
Picture of Charath Narasimhan

Charath Narasimhan

CEO, Indian Terrain Fashion

“Automated open-to-buy gave us 100% availability on fast-movers and took humans out of routine ordering.”
Picture of David Christudoss

David Christudoss

Head of Business, SPAR Oman

“Inventory holding fell 15% while topline rose 15%. Scaling from 10 to 50 outlets became easy.”
Picture of Mayank Mohan

Mayank Mohan

Owner, Mohanlal Sons

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