We use cookies
By clicking “Accept all”, you agree to the storing of cookies on your device for functional, analytics, and advertising purposes.
Your ERP captures thousands of transactions, inventory movements, production events, HR records and customer interactions every month. A typical mid-sized company sitting on 3 years of ERP data has more than enough signal to predict demand, flag anomalies and score churn risk with high accuracy.
The problem isn't data. It's activation. That data sits in a relational database, available only when someone runs a report — looking backward, showing what already happened. AI changes the relationship with that data: patterns that took an analyst three days to surface get flagged in real time. Demand anomalies get caught before they hit production. Cash flow shortfalls become visible six weeks ahead, not six hours before month-end.
And because Arobit has built 60+ ERP and CRM systems from the ground up, we understand your data model from the inside — not just the surface API. That means faster integration, fewer surprises, and AI models tuned to how your specific system actually stores data.
See What AI Could Surface in Your ERP — FreeWe don't start building models on day one. We start by understanding your ERP's data model — because that's where most AI integrations fail.
We map your data schema, integration points, data quality and completeness, and existing reporting landscape. We identify which modules have sufficient history for AI and which use cases will deliver the fastest, most measurable ROI — before a line of code is written.
We produce a prioritised AI opportunity map for your ERP — ranked by business impact, data readiness, and implementation effort. You decide where to start. We give you the full picture so there are no surprises on scope or cost.
We build and train the AI models on your historical data, then connect them to your ERP via API, direct database connector, or scheduled data feed. Your team's interface doesn't change. AI outputs appear where decisions are made.
We deploy monitoring dashboards tracking model accuracy and business impact. Models are retrained on a scheduled cadence as new ERP data accumulates. Proven modules form the foundation for expanding AI to additional departments.
AI doesn't replace your modules — it adds a predictive, pattern-recognition intelligence layer on top of the data each module already holds. Select a module to see the specific use cases.
AI continuously compares each financial entry against 24 months of historical patterns, flagging statistical deviations — duplicate invoices, out-of-policy spend, unusual vendor payments — in real time, before they clear the ledger.
Bank statements, inter-company entries, AP and AR records matched automatically. Exceptions routed to the right person for review. Routine matches cleared without human touch — cutting reconciliation effort by 60–80%.
Predict 4–12 week cash positions using receivables aging, payment history, seasonal patterns and outstanding commitments. CFOs see a forward-looking cash model, not a snapshot of what's already happened.
AI monitors actual spend versus budget in real time by cost centre, department and account. Categories approaching threshold get flagged proactively — before the month closes and the variance is locked.
Identify which SKUs, customers, projects or cost centres are quietly eroding margin — automatically, from P&L data already in your ERP — without an analyst building a new pivot table every quarter.
Routine accrual calculations, depreciation postings and standard journal entries generated automatically based on historical patterns, reducing period-end close effort and the manual error rate.
Machine learning models trained on your sales history, seasonal patterns, promotions and external demand signals predict SKU-level demand 4–12 weeks ahead — enabling procurement and production to act on what's coming, not what just happened.
AI models your order book, machine capacity, changeover times and material availability to suggest production sequences that reduce idle time, minimise changeovers and meet delivery commitments simultaneously.
Identify the specific combinations of material batches, operator shifts, machine conditions and environmental factors correlated with above-average scrap — giving production supervisors early warning before a costly run.
Analyse machine sensor telemetry, maintenance logs and usage hours to predict component failure probability before it happens — scheduling preventive maintenance in planned downtime windows, not emergency shutdowns.
Score supplier reliability in real time using delivery history, lead time variance and external signals. Flag at-risk suppliers before they miss a critical shipment and disrupt your production plan.
Replace fixed reorder points with AI-driven, demand-aware reorder thresholds that adjust automatically for supplier lead time, current order pipeline, seasonal demand and safety stock requirements.
ML models score every CRM lead by close probability using firmographics, engagement behaviour, source quality and historical conversion patterns — so your sales team works the pipeline most likely to close, not the longest or loudest.
Surface customers at high attrition risk weeks before they leave — using declining order frequency, shrinking basket size, support ticket patterns and engagement drop signals. Trigger automated retention sequences before the decision is made.
For every active customer, AI surfaces the most contextually relevant action — upsell recommendation, re-engagement trigger, quote follow-up — based on purchase history, segment behaviour and deal stage dynamics.
Replace CRM stage-weighting with ML-modelled deal close probability — factoring in deal size, sales rep history, time in stage, and competitive signals. Give leadership a forecast they can defend to the board.
Automatically cluster your customer base by purchase behaviour, lifetime value trajectory, category preference and growth potential — moving beyond static segments to living, data-driven groups that update as behaviour changes.
When a customer's order frequency drops below their personal baseline, when a quote ages beyond typical close windows, or when a seasonal reorder period opens — AI triggers contextually timed outreach automatically.
ML models trained on your HR data surface employees with elevated flight risk — based on tenure cohort patterns, role, performance trajectory, department dynamics and leave behaviour — weeks before the resignation conversation.
Flag outlier timesheet patterns — unusual hours, billing anomalies, attendance irregularities — at the individual, project or department level. Catch payroll errors and policy violations before the payment run.
Predict hiring needs 3–6 months ahead based on confirmed revenue pipeline, historical attrition rates, project delivery timelines and seasonal workload patterns — so recruitment starts before the skills gap hurts delivery.
Automatically compare each payroll run against the prior period by component — base, overtime, allowances, deductions — flagging variances above threshold before the bank transfer is authorised.
Map your current workforce competency profile against your project pipeline and growth roadmap — surfacing training priorities and hiring requirements before they block delivery.
Identify correlated leave patterns, habitual absenteeism clusters and structural coverage gaps across teams — giving HR managers and operations leads forward visibility for scheduling and capacity planning.
60+ builds means we know these platforms at the data schema level — not just the public API. That's why our AI integrations are faster and more reliable.
Business One & S/4HANA — finance, manufacturing, procurement and SD modules
Full Fusion suite — financials, supply chain, manufacturing, HCM
Finance, Business Central, Sales and Customer Insights — across the Dynamics family
30+ module open-source ERP — flexible data access, ideal for phased AI deployment
India's most-used accounting platform — AI for reconciliation, anomaly and analytics
Including systems built by Arobit — we wrote the data model, so integration is seamless
SAGE 50, 100, X3 — AI for finance intelligence and inventory optimisation
Open-source ERP — AI via Python API, scheduled jobs and Frappe hooks
Your ERP already does something important — it records and stores. AI adds the forward-looking intelligence layer it was never built to have. Here's the exact difference, module by module.
| What the ERP does | ERP alone — today | ERP + AI Arobit |
|---|---|---|
| Reporting & analysis | Backward-looking dashboards — shows what already happened | Forward-looking predictions — demand, cash, attrition, 4–12 weeks ahead |
| Transaction processing | Records entries; errors caught at period-end or audit | Anomaly detection flags deviations in real time — before they clear the ledger |
| Customer & CRM data | Static records — purchase history and contact data | Churn risk scores, CLV predictions, next-best-action surfaced for every account |
| Inventory management | Current stock level — tells you what's on hand right now | AI-forecast reorder needs — prevents stockout before it hits the production line |
| HR & workforce data | Headcount, payroll history, leave records | Attrition risk, workforce demand forecast, coverage gap alerts |
| Procurement | PO creation, vendor records, price history | Vendor risk scoring, price trend forecasting, PO anomaly flags |
| Finance reporting | Period-end reports — analyst builds monthly | AI summaries auto-generated and distributed — zero analyst hours |
In a 60-minute free assessment, Arobit audits your ERP's data quality, identifies your top 3 AI opportunities by module, and gives you a prioritised roadmap with realistic timelines and ROI estimates — at no charge and no commitment.
No commitment. No vendor pitch. You leave with a concrete roadmap.
Most AI vendors treat your ERP as a black box. They query the surface API, train a generic model, and call it done. Arobit has built 60+ ERP and CRM systems from scratch — we know exactly where your data lives, how it's structured, and why the standard integration fails. That's why our models are faster to deploy and more accurate from day one.
We've built ERP schemas for the same industries you operate in. Your data structure isn't a mystery to us — it's a pattern we've worked with dozens of times. Integration takes days, not weeks.
AI sits entirely on top of your existing system. No migrations, no retraining, no changes to workflows. Your team keeps using the ERP they know. AI runs alongside, not instead.
No new data collection pipelines. No sensors. No restructuring. We extract signal from transaction logs, inventory records and HR data that's been accumulating in your ERP for years.
Arobit's data engineers, ML engineers and ERP integration specialists deliver a live system — not a roadmap presentation. You see working outputs before the engagement closes.
We agree on the measurable outcome — forecast accuracy, anomaly catch rate, analyst hours saved — before writing a line. You always know what success looks like and when you've reached it.
One module first. Baseline measured. ROI proven. Then expand to the next. No 18-month commitment before you see results. No big-bang risk on a system your business depends on.
Measured Results
Every result below is client-reported within 90 days of deployment. This is what happens when AI is applied to data you already have.
Procurement team ordering from historical averages. 6–8 stoppages per quarter due to raw material stockouts.
AI demand forecasting on Odoo ERP. Reorder triggers 3 weeks ahead. Stoppages dropped from 7 to 4 in Q1, then 2 in Q2.
Finance team reviewing 400+ invoices manually each month. Duplicate and out-of-policy entries only caught at audit.
AI anomaly detection on SAP B1 flags deviations in real time. $22K in duplicate payments identified and blocked in 60 days.
Sales team only knew a customer was leaving when the renewal was refused. No early warning signals in the CRM.
AI churn scores on Zoho CRM. At-risk accounts surfaced 6–8 weeks before renewal. Proactive outreach reduced churn from 7.1% to 5.1% monthly.
Two operations staff spending 3 hrs/day compiling delivery confirmation reports from WhatsApp and email into ERP manually.
AI extracts and posts confirmations directly into ERP. Daily ops summary auto-generated. Both staff redeployed to higher-value work.
Accounts team chasing invoices manually. Average debtor days: 48. CFO had no forward cash visibility beyond 2 weeks.
AI cash flow forecasting + automated payment reminders. Debtor days dropped to 31. CFO now sees 8-week cash position daily.
What's your before?
Arobit's free ERP AI assessment identifies which of these outcomes is achievable for your business — and maps exactly what it takes to get there — before you spend a rupee.
Show Me My After — Free Assessment →When AI is properly wired into your ERP, the change isn't incremental — it fundamentally shifts how your leadership team makes operational and financial decisions.
Demand, cash flow, workforce needs — predicted from your own historical data. Not industry benchmarks. Not analyst gut feel. Your numbers, forward-projected.
Anomalies in transactions, inventory, production and HR surface the moment they occur — not at month-end when the variance is already locked into the P&L.
AI generates daily operations summaries, weekly finance briefs and monthly variance reports automatically — delivered to the right people without a single analyst hour spent.
Sales teams see churn risk before the customer decides to leave. Retention campaigns trigger at the right moment, not after the churned notice. Revenue that was walking out stays.
Overstock, stockouts, unplanned downtime, manual data entry, scrap and procurement drift — each one individually measurable, each one reduced once AI is watching the right signal.
Finance fraud signals, vendor concentration risk, single-point-of-failure suppliers, and regulatory anomalies flagged weeks before they become auditable problems.
Start with a free 60-minute ERP AI assessment. We audit your data, map the opportunities and hand you a prioritised roadmap — at no charge.
Book Your Free AssessmentArobit's free ERP AI assessment audits your data quality, maps your highest-value AI opportunities by module, and hands you a prioritised implementation roadmap with realistic timelines and ROI projections — before you spend a rupee.
No commitment. No vendor pitch. Just a clear, honest picture of what's possible in your ERP.