ai + automation for ecommerce

Stop firefighting ops. Start scaling your brand.

Aiwah Labs automates your entire ecommerce back-office for inventory, vendors, fulfillment, and analytics so you can focus on customers and growth, not spreadsheets.

AI-powered automation for e-commerce operations

why ecommerce ops teams burn out

We understand the daily grind.

Ecommerce operators are stuck bridging gaps between tools, vendors, and data. We automate the messy middle so you can reclaim your time.

Manual coordination

Managing vendor coordination and customer messages manually leaves teams firefighting instead of building.

Fragmented visibility

No single view of operations forces constant switching between WhatsApp, Excel, Shopify, and multiple vendor portals.

High manpower costs

Repetitive tasks balloon headcount, making every growth spurt feel like a hiring spree.

everything in sync

Automations tailor-made for ecommerce operations.

Our AI-powered workflows stitch your stack together, eliminating manual effort across the customer journey.

Pain point:

Customers buy once & drop off

What the automation does:

Auto-trigger welcome, reorder, re-engage flows via WhatsApp/email

Outcome for business:

Higher repeat rate & LTV

Pain point:

Lost carts, missed conversions

What the automation does:

Trigger WhatsApp/email/cart reminders & dynamic ads

Outcome for business:

Recover lost revenue easily

Pain point:

Dormant customers forgotten

What the automation does:

Detect inactive customers & send personalized offers

Outcome for business:

Reduces churn, boosts repeat sales

Pain point:

Generic campaigns underperform

What the automation does:

Auto-segment customers by actions & history

Outcome for business:

More relevant campaigns, better CTR

Pain point:

Manual coupon creation, misuse

What the automation does:

Auto-generate targeted discounts & expiry logic

Outcome for business:

Precise offers, margin protection

Pain point:

Disconnected email, WhatsApp, ads

What the automation does:

Coordinate campaigns across all platforms from one workflow

Outcome for business:

Consistent brand voice, higher engagement

Pain point:

Ads for out-of-stock products

What the automation does:

Pause Meta/Google ads when stock < threshold

Outcome for business:

Saves ad budget, improves customer trust

Pain point:

Ads look good on surface but ops poor

What the automation does:

Combine ROAS + fulfilment + returns to show *real* ROI

Outcome for business:

True profitability visibility

Pain point:

Ops unprepared for ad spikes

What the automation does:

Forecast upcoming orders from ad trends

Outcome for business:

Prevents stock-outs & fulfilment delays

Pain point:

Guessing what works

What the automation does:

Auto-test ad creatives, emails, and use AI to deploy best performer

Outcome for business:

Improved conversion, higher ad ROI

Pain point:

No structured referrals or repeat incentives

What the automation does:

Auto-reward referrals, repeat buyers, review submissions

Outcome for business:

Organic growth, higher retention

Pain point:

Few product reviews

What the automation does:

Post-delivery auto-message asking for reviews

Outcome for business:

Builds social proof, boosts conversion

Pain point:

Disconnected tools & reports

What the automation does:

Combine store, vendor, shipping, returns & finance data in one dashboard

Outcome for business:

One source of truth for daily ops

Pain point:

Found out too late about problems

What the automation does:

Auto-flag sudden spikes in delays, returns, low stock, courier issues

Outcome for business:

Prevents crisis, proactive decisions

Pain point:

Team depends on analyst for data

What the automation does:

Ask questions like "which SKU delayed most?" via Slack/WhatsApp bot

Outcome for business:

Faster access to insights, democratized data

Pain point:

Lack of morning visibility

What the automation does:

Auto-send daily summary (orders processed, returns, delays)

Outcome for business:

Informed decision-making, no data chase

Pain point:

Overselling, stock-outs, manual tracking

What the automation does:

Real-time sync across Shopify/WooCommerce, vendors & warehouses; auto-hide out-of-stock items; send alerts

Outcome for business:

Accurate stock, fewer cancellations, satisfied customers

Pain point:

Reactive reordering, lost sales

What the automation does:

Uses sales velocity + vendor lead time to auto-trigger restock or reorder

Outcome for business:

Avoids stock-outs & overstock, ensures cash efficiency

Pain point:

Central warehouse overload, slow delivery

What the automation does:

Automatically routes orders to nearest warehouse/vendor

Outcome for business:

Faster shipping, lower logistics cost

Pain point:

Manual order push, label creation, tracking

What the automation does:

Automatically pushes order to vendor, prints shipping labels, updates tracking to customer

Outcome for business:

Reduced manual work, faster fulfilment

Pain point:

Fixed courier use, high cost

What the automation does:

Chooses best courier (Bluedart, Delhivery, etc.) based on pin code, rate, SLA

Outcome for business:

Lower shipping costs, faster delivery

Pain point:

Manual returns, late refunds, no tracking

What the automation does:

Auto-generate return label, refund, restock & tag reasons

Outcome for business:

Smooth returns, data for root cause analysis

Pain point:

Chasing vendors, missed packaging timelines

What the automation does:

Sends vendor packaging lists, deadlines, and pickup labels automatically

Outcome for business:

Less follow-up, faster vendor turnaround

Pain point:

Unknown vendor delays or quality issues

What the automation does:

Monitors vendor KPIs (dispatch time, quality, returns) and alerts for breaches

Outcome for business:

Better accountability & vendor improvement

Pain point:

Manual reconciliations, no link to SLA

What the automation does:

Auto-release or hold payments based on SLA achievement

Outcome for business:

Timely payouts, vendor motivation, fewer disputes

Pain point:

Manual order vs. payment matching

What the automation does:

Auto-match store orders with bank/PG data

Outcome for business:

Fewer errors, faster finance closure

Pain point:

Manual invoice creation, tax errors

What the automation does:

Auto-generate invoices with correct GST; export monthly reports

Outcome for business:

Saves hours, ensures compliance

Pain point:

Delayed or inconsistent vendor payments

What the automation does:

Automate payouts post QC & SLA verification

Outcome for business:

Builds trust, avoids human delays

Pain point:

Manual label creation

What the automation does:

Auto-generate shipping labels via carrier APIs

Outcome for business:

Time saved, reduced shipping errors

Pain point:

Missed deliveries, customer frustration

What the automation does:

Auto-detect and notify if courier delays or fails delivery

Outcome for business:

Faster issue resolution, better customer experience

Pain point:

Manual coordination of pickup & restock

What the automation does:

Auto-schedule pickup, verify item, restock & process refund

Outcome for business:

Efficient returns, lower ops load

Pain point:

No visibility into why customers return items

What the automation does:

Track & analyse return reasons by SKU/vendor/channel

Outcome for business:

Identifies poor-performing SKUs/vendors

Pain point:

Manual SKU updates across platforms

What the automation does:

Auto-sync product info, pricing, images, metafields

Outcome for business:

Consistent catalog, reduced human error

Pain point:

Lack of insight into product margins

What the automation does:

Combine cost, ad spend, returns data to show per-SKU profit

Outcome for business:

Focus on high-margin SKUs

Pain point:

Customers uninformed post checkout

What the automation does:

Auto-send order updates, feedback requests, issue escalation

Outcome for business:

Higher satisfaction, fewer tickets

Pain point:

No proactive issue handling

What the automation does:

Post-delivery check-in via WhatsApp/email + auto-escalate issues

Outcome for business:

Better service recovery, higher retention

Pain point:

Processes fail during peak load

What the automation does:

Workflows auto-scale during campaigns or sales spikes

Outcome for business:

Handles volume growth without extra staff

Pain point:

No history of ops actions

What the automation does:

Auto-log all actions (refunds, vendor updates, etc.)

Outcome for business:

Transparent ops, audit readiness

Pain point:

Fake orders, chargebacks, loss

What the automation does:

Detect unusual patterns; auto-hold risky orders

Outcome for business:

Lower fraud loss, stronger protection

what founders say

Trusted by next-gen consumer brands.

"The best part about the vendor automation is that it just works. It has saved us hours, yes, but the real win is the reliability. Knowing every made-to-order item is being coordinated without manual errors is a huge weight off our shoulders."
Totdot | made-to-order kids' brand
"We finally have an ops buddy that never sleeps. The AI chatbot surfaces sales dips, pulls up dashboards, and breaks down returns by SKU the moment we ask. The team now jumps into standups with answers instead of guesses, because the bot already sent the analysis, the insight, and the why."
Loop | lifestyle clothing label
"Before Aiwah Labs, we discovered stockouts only when support escalated them. Now our Shopify, warehouse, and marketplace inventory sync in seconds. The automation pauses ads, pings our warehouse, and refills bundles automatically, our bestselling SKUs haven't gone dark once."
Flow | omnichannel home goods brand

talk to us

Ready to automate your operations?

Book a free 30-minute discovery and we will audit your current workflow and shape the ideas into a practical automation roadmap