AGENTIC RETAIL INTELLIGENCE

Retail that runs itself

While your team sleeps, the four engines of BIRetail.AI connects your data and discovers anomalies, finds the root cause, decides the fixes and executes it in your systems.
You wake up to DONE – not another dashboard!

19 yrs

in retail BI & AI

550 +

Retailer inputs

110 +

Retail-ready use cases
// We don’t just talk AI. We walk the talk.
BIRetail.AI · AGENT RUN 04:00 IST
BIR-360
Synced 9 sources → single source of truth OK
BI-Q
South margin ↓4.2% → root cause: 3 fast-movers OOS
BIR-MSS
Recommended: transfer 240u + reorder 1.2k SKUs
TA
Wrote transfer order #4471 to ERP, dispatched ×6

// Trusted across retail

// One suite · Four engines

Four engines.
Modular, yet integrated.

Each engine runs a critical job — and together they run as one autonomous loop, from raw data to executed action. Start with one engine, switch on the rest anytime.

Single source of truth

Conversational root-cause

Merchandising at machine scale

Last-mile execution to ERP

DATA INTELLIGENCE DECISION EXECUTION · CLOSED LOOP

/01 - DISCOVER

One number everyone trusts

BIR-360 · The single source of truth

KILLS
Your team burns the first hour of every day rebuilding the same VLOOKUP — and finance, store ops and the CEO still quote three different sales numbers.
BI-360 auto-engineers every source — POS, ERP, CRM, e-comm, marketplaces, B2B — into one clean source of truth. Refreshed nightly. And your reports get delivered on schedule. Zero touch.

−87%

time spent reconciling reports
BIR-360
POS
B2B
ERP
MKT
CRM
E-COM
TRUTH
1
source

/02 - UNDERSTAND

Ask “why” in plain English

BI-Q · Conversational AI for retail

KILLS
The dashboard says three stores are down. It won't tell you why — so someone loses an afternoon checking eight possible causes by hand.
Ask “why did margin slip in the South?” and get the multi-factor root cause in seconds, on your live data. BI-IQ runs on our own servers and never trains on your data. Chat-as-you-go

14x

faster root-cause vs. manual analysis
BI-Q
YOU
Why did margin slip in South region last week?
3-factor root cause detected:
Mix shift to low-margin -2.1%
Fast-mover stockouts -1.4%
Markdown leakage @ 4 stores -0.7%
IQ

/03 - DECIDE

Decisions at machine scale

BIR-MSS · Merchandising Support System

KILLS
6,000 SKUs across 100 stores is millions of replenishment, allocation and markdown calls a week. No human planner wins that math.
BIR-MSS recommends the right buy, right transfer, right markdown — Auto Replenishment, Inter-Store Transfers, Assortment Mix — customized to your rules and your decision trees.

+15%

topline lift, −15% inventory holding
BIR-MSS
DECISIONS · THIS RUN
5 OF 6,214
TS-4421
REORDER
1.2k
DR-0918
TRANSFER
240
JK-3310
MARKDOWN
-15%
SH-7702
REORDER
860
BG-1145
TRANSFER
120

/04 - EXECUTE

The last mile, automated

TransactiveAnalytics™ · Last-mile execution

KILLS
The best recommendation is worthless if a busy store manager never acts on it. That's why you spend on AI, yet the ROI never adds up.
Transactive turns recommendations into action: agentic workflows write transfer orders, POs and markdowns straight into your ERP, dispatch over email and WhatsApp, track turnaround, and escalate non-compliance.

92%

compliance on auto-dispatched actions
TRANSACTIVEANALYTICS™
ERP
Transfer order #4471 written
00:03
EMAIL
Dispatched to 6 store managers
00:05
WHATSAPP
Inventory team notified
00:05
TRACK
Acknowledged 4 / 6 stores
00:42
ESCALATE
2 stores pending ➔ ops lead
01:30

// Proven business improvement

Quantifiable metrics,
that speak for themselves.

We earn our keep on your P&L — here’s what customers actually moved with BIRetail.AI in production over 12 months.
0 %

Revenue Increase

From killing out-of-stocks on fast movers
0 %

Increase in
Inventory Turn

Right stock, right store, right time
0 pts

Increase in
NPS

Shelves stocked with what shoppers want
0

Man-Months Saved
per Month

From killing out-of-stocks on fast movers
// Median across customers using all four engines, 12-month window.

// What customers say

Real teams .
Real P&L impact.

From hypermarkets in the Gulf to fashion chains scaling 5× — the common thread is autonomous loops running in production, every night, every week.
BIRetail closed the loop from insight to action. Transfers now execute in our ERP without anyone chasing the floor.

-12%

OOS Reduction

6-7%

Revenue upswing
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 — tailored for our market.

100%

Fast mover availability

−40%

Manual Reorder Cycles
Picture of David Christudoss

David Christudoss

Head of Business, SPAR Oman

Inventory holding fell 15% while topline rose 15% from precision buying. Scaling from 10 to 50 outlets became easy.

+15%

Topline

-15%

Inventory Holding
Picture of Mayank Mohan

Mayank Mohan

Owner, Mohanlal Sons

// Why BIRetail

We don't just talk AI. .
We walk the talk.

Four pillars that separate us from the dashboard-and-chatbot AI crowd — and from generic enterprise platforms retrofitted for retail.
19 years in retail, 550+ retailer inputs, 110+ retail-ready use cases. Born from real merchandiser pain — not a generic AI playbook.

- 550+ retailer inputs

Discover, Understand, Decide, Execute – we close the loop from data to action executed and tracked to the last mile.

- Closed-loop · 4 engines

ML, LLM/SLM, voice and image AI on our own servers. Your data never trains anyone else’s model.

- Private by design

Start with one engine, scale on your terms. Every feature ties back to a number on your P&L.

- Tied to your P&L

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