Not a chatbot. Not a catalogue.
A B2B ordering system built for manufacturers.
WATI, Interakt, and AiSensy were built to send automated replies to retail customers. They were not built to read "bhai 200 amul 1L, 50 surf 3kg" and create a SAP sales order.
HublerX was. It reads every unstructured message your distributors send, maps informal product names to your ERP item codes, validates credit and pricing, and writes a confirmed sales order in under 2 minutes. Without any distributor behaviour change.
DISTRIBUTOR · 8:47 PM
"need 200 amul 1L, 50 dahi 400g, 30 butter 100g delivery friday"
ERP Sales Order · Auto-Generated
HUBLERX → DISTRIBUTOR · 8:49 PM
Order SO-20240 confirmed. 3 lines, delivery Friday.
Retail WhatsApp tools and B2B ordering tools
are solving different problems entirely.
Retail WhatsApp tools — WATI, Interakt, AiSensy, and their category — were built to help brands talk to consumers. They send order confirmations. They show product catalogues with images. They collect payments. They answer "where is my order."
That is not the B2B manufacturing problem.
The B2B manufacturing problem is this: you have 200–600 distributors each sending 10 unstructured WhatsApp messages a week. Each message is a different product list in a different format with informal names that don't match your ERP item codes. Each distributor has their own credit limit, their own pricing tier, their own active trade schemes.
A retail WhatsApp tool receives the message and sends a reply. It cannot read the message, resolve the product names, check the credit position, apply the pricing rules, and write a SAP sales order. That requires a different architecture entirely.
Retail WhatsApp Tools
WATI · Interakt · AiSensy · Custom chatbots
- removeSend automated replies to consumer queries
- removeDisplay product catalogues with images
- removeCollect payments and confirm D2C orders
- removeAnswer 'where is my order' at scale
- removeLog order requests in a side database
Built for: brands selling direct to consumers. Not for: manufacturers with 400 distributor accounts each sending 10 unstructured orders a week.
HublerX — B2B Order Intelligence
Built for manufacturers and distributors
- checkReads unstructured messages in any language or format
- checkResolves informal product names to ERP SKU codes
- checkValidates credit limits and pricing tiers in real time
- checkCreates a confirmed SAP/Oracle/D365 sales order natively
- checkConfirms back to the distributor on WhatsApp within 5 minutes
Built for: manufacturers receiving 200–600 unstructured B2B orders per day from distributors who will never use a portal.
They break at the first real distributor order. Here's exactly how.
The distributor calls it "surf big." Your ERP calls it HPC-SURF-3KG-24.
The Scenario
Rajesh at Metro Distributors sends: "200 amul 1L, 50 surf big, 30 butter small pack". A retail WhatsApp tool receives this and can send an auto-reply: "Thanks, your order has been received." But it cannot resolve "surf big" to HPC-SURF-3KG-24. It cannot resolve "butter small pack" to DAIRY-AML-BTR-100G. It cannot build and maintain a per-distributor mapping table of 400+ informal product names. Result: Someone on your team still reads the message and enters the order manually.
What HublerX Does
HublerX maintains a per-distributor alias library. "Surf big" for Metro Distributors maps to HPC-SURF-3KG-24 at 97% confidence. Built from 6 months of historical orders. Reaches 85–90% auto-processing within 90 days.
The tool creates a lead. You need a SAP sales order.
The Scenario
A retail WhatsApp tool can log the order in its own database. Some can push a notification to your team. What they cannot do is create a standard SAP sales order — with all required fields populated, standard pricing applied, the correct customer master record, and the right plant and storage location. Without that, someone still has to re-enter the order in ERP. "Connected to ERP" in a retail tool typically means a webhook that sends a JSON payload. Your ERP team still has to map that payload to a sales order, write the middleware, and maintain it every time the ERP is updated.
What HublerX Does
Tested, native connectors to SAP B1, SAP ECC, SAP S/4HANA, Oracle EBS, D365, and Tally. Standard transactions — no custom objects, no middleware. Six-week go-live. Your ERP team does not need to be involved beyond initial master data mapping.
The order is confirmed. The credit limit was already breached.
The Scenario
A retail WhatsApp tool has no concept of B2B credit limits, customer-specific pricing tiers, active trade promotion schemes, or volume discount structures. It confirms whatever message arrives. Your team discovers the credit breach at month end. The margin leakage from wrong pricing is invisible until a distributor raises a dispute.
What HublerX Does
Every order validated against live ERP master data before confirmation. Credit limit checked against current outstanding balance. Customer price list applied. Active trade schemes applied. Volume tiers applied. Off-list discount requests routed for approval before the order is confirmed. Breach rate: below 0.5% vs 5–8% under manual processing.
HublerX vs the alternatives
| Feature | HublerX | WATI / Interakt | B2B Portal | Manual Entry |
|---|---|---|---|---|
| Reads unstructured messages | check_circleYes | warningTemplate required | cancelPortal form only | warningHuman reads it |
| Per-distributor alias library | check_circleYes | cancelNo | cancelNo | warningRep's memory |
| Creates ERP sales order | check_circleNative | cancelParallel system | cancelManual ERP entry | warningManual entry |
| Credit limit enforcement | check_circleLive ERP check | cancelNo | warningIf configured | cancelNo |
| Customer-specific pricing | check_circleAuto-applied | cancelNo | warningIf configured | warningManual lookup |
| Trade scheme / promo rules | check_circleAuto-applied | cancelNo | warningIf configured | cancelUsually missed |
| Distributor behaviour change | check_circleZero — same WA | warningSome templates | cancelNew portal login | check_circleZero |
| Voice note handling | check_circleYes | cancelNo | cancelNo | warningRep transcribes |
| Go-live timeline | check_circle6 weeks | warning4–8 weeks | cancel3–6 months | warningAlready live |
| Auto-processing at 90 days | check_circle85–90% | cancelN/A | cancelN/A | cancel0% |
⚠ = Partial — requires significant configuration or has limitations. WATI / Interakt column represents the general capability of retail-focused WhatsApp Business API tools. Individual products may vary.
The alias library is what makes this work. No other tool in this category has one.
Every distributor has been ordering from you for years. In that time, they've developed their own shorthand for your products. "Amul 1L" not "DAIRY-AML-1L-FULL." "Surf big" not "HPC-SURF-3KG-24." "Butter small pack" not "DAIRY-AML-BTR-100G."
No generic tool maintains this mapping because no generic tool is connected to your ERP item master and your 6 months of order history.
HublerX builds a per-distributor alias library from your historical orders before deployment. On day 1, it already knows each distributor's vocabulary. Every exception that gets manually corrected teaches the system a new alias. The library grows with every order.
Match rate ramp — per-distributor alias library
Day 1
Day 30
Day 90
Day 180
Metro Distributors — Alias Library
247 aliases · 94.2% avg confidence
| What they send | Resolves to | Conf. | Uses |
|---|---|---|---|
| "amul 1L" | DAIRY-AML-1L-FULL | 99% | 248 |
| "surf big" | HPC-SURF-3KG-24 | 97% | 192 |
| "butter small" | DAIRY-AML-BTR-100G | 96% | 167 |
| "maggi 12 pack" | FNOOD-MAG-70G-12 | 94% | 143 |
| "100 lux" | HPC-LUX-100G-BAR | 91% | 118 |
| "dairy milk slab" | CONF-DM-165G-SLAB | 88% | 96 |
| "surf big do 200pk" | HPC-SURF-3KG-24 | 64% | 3 |
⚠ Low confidence — review required: "surf big do 200pk" → HPC-SURF-3KG-24 added after manual confirmation. Confidence will increase with subsequent orders.
What actually changes — not what the demo shows
85–90%
auto-processing rate
8–9 of every 10 orders without human involvement
< 0.5%
credit breach rate
vs 5–8% under manual processing
< 2%
order error rate
vs 12–18% on manually entered orders
5 min
distributor confirmation time
vs same day or next morning
By day 42, 89% of our WhatsApp orders were processing automatically. The team went from order entry to exception management. We handled the Ramadan volume spike without any temporary headcount.
— Leading GCC food manufacturer and distributor
Three types of operation. One platform.
MANUFACTURERS
You manufacture. Distributors order.
Food and FMCG manufacturers with regional distributor networks. 200–600 orders per day arriving via WhatsApp from accounts that have never used your portal and never will. The alias library learns each distributor's language. The ERP connector writes to your SAP or Oracle. Your team manages exceptions.
WhatsApp order management for food & FMCGarrow_forwardLARGE DISTRIBUTORS
You distribute. Retailers order.
Regional and national distributors with 200–400 retailer accounts. Kirana stores, modern trade, sub-distributors — all ordering via WhatsApp at all hours. Same platform, same alias library, same ERP write. Your team of 15 order entry staff becomes 3 exception handlers within 90 days.
How large distributors use HublerXarrow_forwardVAN SALES TEAMS
Your reps are in the field. Orders should reach ERP before they leave.
Field reps sending orders from the road. Credit checked before they promise delivery. ERP updated before they reach the next outlet. End-of-day reconciliation eliminated. Works for internal van sales teams and independent third-party distribution companies alike.
WhatsApp order management for van salesarrow_forwardMULTI-TIER DISTRIBUTION
Principal → distributor → sub-distributor → retailer.
Every tier orders via WhatsApp. Every order needs to reach the right ERP. HublerX handles multi-principal configurations — separate alias libraries, pricing rules, and ERP connections per principal, one platform for your operations team.
For teams evaluating WhatsApp ordering tools
B2B WhatsApp Ordering App for Manufacturers: What to Look For
Read article →DistributorsHow Large Distributors Use WhatsApp Order Management to Handle High-Volume Multi-SKU Orders
Read article →StrategyWhatsApp Ordering vs B2B Portal: Why Manufacturers Stop Fighting
Read article →TemplatesWhatsApp Order Templates: Why Unstructured Messages Are Costing Manufacturers
Read article →Van SalesWhatsApp Order Management for Van Sales: How Field Reps Close Orders Faster
Read article →Related Pages
WhatsApp Order Management Software
The complete guide to WhatsApp-to-ERP automation for manufacturers
WhatsApp Orders for Food & FMCG
Shelf-life validation, alias mapping, and distributor order management for food manufacturers
Van Sales Order Management
Field order capture — from kirana routes to multi-principal van distribution
WhatsApp to ERP Integration
SAP, Oracle, D365, Tally — tested connectors, 6-week go-live
WhatsApp Ordering System for Distributors
Scale order capture across hundreds of retailer accounts
Order Management Module
Full platform — quotes, pricing, promotions, multi-channel capture, ERP push
See It With Your Distributors' Orders
Stop evaluating demos. See it process a real message from your distributor list.
Share one week of anonymised WhatsApp order history from your highest-volume distributor. We'll show you the alias match rate, the ERP write speed, and the exception queue — before the demo is over.
That's the difference between evaluating a tool and knowing whether it works for your operation.