We solve
Too much copy-paste, slow quoting
Product and package retrieval errors
Missed upsell opportunities
Manual Quoting vs. AI Sales by OPTI
| The Classic Process | Our Process |
|---|---|
| Slow search: The agent searches for exact codes. If they search by title and make a typo, the ERP returns nothing. | Semantic search: The AI understands "concrete screws" and finds the correct items, even without a code. |
| Manual stock check: The agent opens 3 windows to check stock in different warehouses. | Total visibility: Stock from all inventory locations and the client-specific price are displayed instantly. |
| Missed Upsell: The agent forgets to propose accessories (washers, consumables) due to rushing. | Automatic Upsell: The platform automatically suggests complementary products defined by the manager. |
| Time: 30-60 minutes for a complex quote. | Time: < 5 minutes for the same quote. |
We deliver
Writing (OCR) and vocal transcription
Semantic and hybrid search
Complementary products
Continuously synchronized data
Dashboard for offer creation
On-site sales chatbot
Proven results: industrial client
Who uses the platform:
B2B Distributors
Retail & eCommerce
Technical and Support Teams
References
Phases of Setup
Data & Analysis: objectives, product catalog, attributes
ERP Integration: API/ODBC/CSV + price list mappings, units, stocks
Gemini AI Pilot (2–3 weeks): OCR + Vocal + Semantic search on real data
Testing period (30 days): real agents, chatbots, sales reports
Stable implementation: Continuous optimization, A/B tests
See the architecture and value flow
Most companies have their data locked in a rigid ERP or in Excel files. AI Sales by OPTI Quoting Platform connects as an intelligent middleware layer. We extract in real-time, we process for indexing and consistency and we deliver a fast dashboard for agents, chatbots for clients, and quotes back into the ERP.
Methodologies: OCR, Speech-to-text, Semantical search, Lexical search, Upsell rules, Model Training, A/B tests, Audit & Compliance, Integration via API, SQL, CSV, RPA
ERP platforms: Romanian and international
Romanian:
The platform is a smart quoting extension for Senior, Charisma, Entersoft, Winmentor, Nexus, Magister, Pluriva. We import the catalogue, offers and stocks in (almost) real-time, without modifying them.
International:
Microsoft D365, SAP Business One, etc.
We integrate any ERP via API, ODBC, RPA or scheduled imports (CSV, CDC, flat files etc).
NEW AI Tech Guides for Companies
For clients who want AI implementations in their company, we publish tech guides. Read the guides for statistics, problems, and technological solutions. Read the published AI for Sales Guide #1
Recommendations, upsell, and rules
KPI: +20% increased AI-assisted sales.
Integrating exact data with AI (RAG)
KPI: 94% hallucination evitation in RAG.
Input processing: text, voice, photo
KPI: <5 sec transcribing 50 products from image.
Hybrid search & assistants (chatbots)
KPI: -90% no-result searches.
Continuous optimization and learning
KPI: 2.5x scaling speed.
Security, audit, and standards
KPI: 0 detected deviations from company policy.
Packages
Internal Sales
- Quote generation in 5 minutes
- Romanian ERP integration
- 1 upsell per category (max. 7)
- 1 internal search chatbot
- Agent dashboard
- Warranty and technical support
Ecommerce Starter
- All features from Internal Sales
- Ecommerce integration: Woo/Magento/Custom
- Multiple upsell rules
- Public website search chatbot
- Sales reports
- SSO or login integration
Omni-Channel Sales
- All features from Ecommerce Starter
- CRM integration: HubSpot etc.
- Chatbots with custom flows
- Continuous optimization
- Search reports (A/B testing)
- International ERP: D365, SAP
Steps Overview
Step 1: ERP Analysis & Integration
We start by analyzing your ERP data (products, prices, stock levels). We establish a secure connection via API, ODBC, or scheduled CSV imports to synchronize your product catalog with our platform.
Step 2: Pilot Phase with Gemini AI
We configure and train the Google Gemini AI model on your product catalog. We implement the semantic search and OCR features and run a 2-3 week pilot on real-world examples (e.g., agent notes) to validate its accuracy.
Step 3: Dashboard & Upsell Rules Configuration
We develop the quoting dashboard for your sales team. Together with you, we define and implement the business rules for complementary product recommendations (upsell/cross-sell) to increase order value.
Step 4: 30-Day Testing and Agent Training
We train your sales agents to use the new platform. We measure key KPIs: reduction in quoting time, decrease in product lookup errors, and increase in average order value.
Step 5: Go-Live & Continuous Optimization
After a successful trial, we launch the platform for the entire team. We provide ongoing support and use machine learning to continuously optimize the performance of the AI model and its recommendations.
Frequent questions
How long does it take to see results?
Typically, a PoC is delivered in 2–4 weeks; full projects in ~7 weeks according to standard implementations.
If my ERP doesn't have an API?
We can start data ingestion via CSV/Excel or ODBC to connect to SQL databases. We use automation technologies (e.g., UiPath) when these options do not work. Data can definitely be extracted!
Can the data remain in the EU?
Data can be hosted in EU regions (e.g., Belgium/Netherlands/Germany/Poland) or in EU multi-region. For AI services, we select EU endpoints/regions where available; if a service does not yet offer "EU-only", we inform in advance and propose alternatives.
How do we avoid item errors and product code retrieval issues?
We use semantic (vector) search to understand the customer's intent, not just the exact code match. Thus, even if the customer does not remember the correct code, Gemini can suggest the appropriate items based on the description or context. In addition, we perform a parallel exact search for cases when the code is correct.
Can the public chatbot give wrong prices?
A full implementation based on RAG (Retrieval-Augmented Generation) technology reduces hallucinations by 50% and can bring error rates down to 4-5%. Additionally, we have special safeguards to ensure prices and stock levels are retrieved from standard relational databases.
Do you have specific industries where the solution is applied?
Yes.
1. Construction Materials & DIY:
There are thousands of similar items and different units of measure (sqm vs box). Plus, tender requests consisting of hundreds of pages are received.
2. Auto Parts & Service:
Part codes are complex, compatibilities are strict, and there is a very high volume of products.
3. The Book Industry:
There are tens or hundreds of thousands of titles requiring advanced search and intelligent recommendations, including dialogue with the highly rich content.



