Enterprise AI

AI-Powered Retail

Vendor pricing, supplier communication, and procurement workflows are still trapped in calls, emails, and spreadsheets. Flentas builds AI-powered procurement systems that automate supplier engagement, bidding, and document processing — faster decisions, complete visibility, and a clear audit trail.

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The Reality

AI Is Here, but the Work Still Happens the Old Way

Vendor pricing and procurement still run on calls, emails and spreadsheets, and every hour spent chasing is margin.

Too much vendor follow-up

Teams spend hours chasing responses that should arrive on their own.

Bids take too long to compare

Quotes arrive in different formats and need manual work before anyone can see the best offer.

Data is scattered across conversations

The full picture lives in email threads, chats and documents, and assembling it takes time.

Decisions still depend on manual work

Teams have the information but not the time to act on it before the price moves.

Vendors can't see where they stand

Suppliers chase updates by phone because nothing shows them the status of their own bid.

There is no audit trail

When a price is questioned, nobody can reconstruct who offered what, when, and why it was accepted.

Key Benefits

Retail Margins Are Thin. Manual Procurement Makes Them Thinner

Stop Running Pricing on Phone Calls and Email

Heavy reliance on calls and emails for daily pricing and bid updates slows every cycle. A WhatsApp or portal-based interface puts suppliers on the channel they already use.

Give Every Vendor a Real-Time Channel

Suppliers with no convenient channel for real-time interaction participate less. A generative AI-powered WhatsApp chatbot lets vendors submit prices, check standing, and get answers in natural language.

Give Vendors Visibility Into Their Own Bids

Vendors who can't track their own bids or pricing status stop trusting the process. Real-time bid-status visibility rebuilds that trust — and lifted vendor experience scores by 85% at Jaleel Holdings.

Keep a Full Audit Trail, By Design

Every decision — price submitted, bid selected, rating applied — is logged to Amazon Aurora, so procurement decisions are traceable, not just remembered.

Proof Points

What Changed When Procurement Moved From Calls and Spreadsheets to an AI-Powered Workflow

40%Reduction in procurement cycle time

30%Faster vendor responses via WhatsApp

45 daysFrom kickoff to a working proof of concept

85%Of vendors reported a more positive experience

How It Works

From Assessment to a Production System, Not a Pilot That Stalls

The same disciplined path that took Jaleel from kickoff to proof of concept in 45 days applies to any retail process worth automating.

1
Assess: Map the Process and the Data Behind It
Find the highest-value, most feasible process — usually the one with the most manual vendor or customer contact. Process and data discovery covers how pricing, orders, or vendor communication flow today, scored on feasibility and value, not just the loudest complaint, alongside AWS foundation readiness for the pilot.
2
Build: Ship a Production-Ready Pilot
Built on real data and real interactions from day one, not a demo. A WhatsApp or portal-based interface meets vendors on the channel they already use; generative AI on Amazon Bedrock handles natural language and API orchestration; every decision is logged to Aurora or RDS by design.
3
Scale and Support: Extend the Pattern, Then Operate It
The next process reuses the same foundation, faster and cheaper than the first — staged rollout, business unit by business unit, wave by wave, with 24x7 monitoring, incident response, and infrastructure management. Usage data feeds what to automate next.

Technology Stack

Technologies & Tools We Use

Vendor & Customer Channel

WhatsApp Cloud API via Meta Developer Portal, or a web-based admin and vendor portal.

Generative AI

Amazon Bedrock for natural language understanding and API orchestration.

Compute

AWS Lambda for serverless processing, Amazon EC2 for backend integration.

Data and Audit Trail

Amazon RDS or Aurora for conversation history, bids, and decision records.

API Orchestration

OpenAPI Swagger documentation for dynamic, intelligent API calls.

Delivery Accelerator · ChangeSafe

A Safer Way to Introduce AI Into Retail

Retail AI rarely works in isolation. It connects with inventory, supply chain, ERP, pricing, customer and other business-critical systems, and a change in one place can have unexpected impact somewhere else. The ChangeSafe Pattern helps teams understand dependencies, assess change impact and bring the right owners into the review before AI-driven changes reach production.

Explore ChangeSafe AI

Case Studies

Where AI-Powered Retail Makes a Difference

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Supplier and Vendor Management

Automated bidding, pricing intake, and rating-based selection, proven at Jaleel Holdings.

Retail / FMCG

40%Reduction in Procurement Cycle Time

Jaleel Holdings, a UAE investment company serving more than 10,000 retailers, replaced daily one-by-one supplier calls with a centralized Admin and Vendor Portal plus a generative AI WhatsApp chatbot on Amazon Bedrock.

Inventory and Demand Visibility

Connecting store, warehouse, and e-commerce data in one place.

Customer and Store Operations

Conversational AI for order status and service, on channels shoppers already use.

Retail / FMCG

85%Of Vendors Reported a More Positive Experience

AWS separately reported a 10% reduction in order processing time and a 15% increase in supplier participation after the Jaleel Holdings rollout.

Document-Heavy Back Office

Intelligent document processing for invoices and compliance paperwork.

Retail / FMCG

45 daysFrom Kickoff to Working Proof of Concept

The system weighs price against supplier rating to auto-select the best bid, with Amazon Aurora keeping a full audit trail — live as a proof of concept in 45 days.

“Suppliers feel more confident participating knowing it's a transparent process with real-time visibility of their bid status.”

Sameer Mohamed, Managing DirectorJaleel Holdings

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What's Next

Where This Fits in Your Journey

One engagement is one stage. Here is what usually comes before and after, so the next step is always clear.

Before

AI Readiness Assessment

A scored roadmap for which AI use case to build first and what it needs.

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