Orders in Excel
Enquiries were processed manually. When working with spreadsheets, some data was lost, and there was no unified order management system.
We created an internal CRM system for order management, separated B2B and B2C flows, connected online enquiries with managers and automated high-volume data processing.
The transport company operates in logistics and freight transport. Before implementation, enquiries were processed manually, information was fragmented, and managers lacked a unified space to control orders.
It was necessary to connect B2B and B2C directions, client enquiries, the website, large data arrays, and management analytics into a single digital loop.
Key data was located in Excel and separate workflows. As the volume of information grew, it became harder for the team to control enquiries and interaction history.
Enquiries were processed manually. When working with spreadsheets, some data was lost, and there was no unified order management system.
Interaction history with clients was not recorded centrally. It was difficult for managers to understand which orders were already in progress.
Orders from different directions were processed without structuring. The team lacked separate scenarios and clear categorization.
Clients could not conveniently place an order for transport online. For the B2C direction, there was no digital entry point.
Import, export, and data processing were not automated. Manual information loading slowed down the team's work.
CRM became the central system: orders, B2B and B2C flows, client history, online enquiries, data import, reporting, and analytics are now interconnected.
Logistics
Unified ecosystem · integrated stack for a transport company
Started with a deep business analysis: described processes, identified weaknesses, and determined which operations to automate first.
Created an enquiry structure where managers can quickly find orders, track cargo shipment statuses, and access necessary actions without excessive navigation.
All enquiries are now stored in a single database. Separate categorization is provided for B2B and B2C directions, and managers can view interaction history and status notifications.
Developed a modern website and embedded a form for B2C customers. New enquiries automatically enter the CRM and are distributed among managers.
Developed Excel integration modules for uploading orders and client databases, exporting transport reports, and quickly analyzing large data sets.
Automated enquiry distribution, developed a reporting system and analytics dashboard so management can see the company's key performance indicators.
Each enquiry follows a linked scenario: without manual data transfer between the website, spreadsheets, and work chats.
B2C order is placed via an interactive form on the website.
The enquiry automatically appears in the centralized database.
The order is classified as B2B or B2C and assigned a responsible manager.
The team tracks the order and updates the shipment status in the system.
Excel modules help import data and export reports.
Key metrics are available on a unified reporting dashboard.
Website, B2B and B2C orders, Excel modules, notifications, and analytics work as a single system.
Without unverified percentages and artificial figures: the effect is reflected through actually implemented process changes.
All enquiries are stored in a centralized database, and managers see the current shipment status.
Different order categories are processed separately, making processes clearer for the team.
The website form sends B2C enquiries to CRM and triggers distribution among managers.
Reporting and dashboard metrics help monitor company performance.
Conducted interviews with staff, described the current state of the business, and identified bottlenecks.
Created a database of clients, enquiries, and cargo; added interaction history and order status tracking.
Implemented a freight transport order form, automatic enquiry submission, and site SEO optimization.
Configured data exchange between Excel and CRM, flexible reporting, and metric analytics.
Conducted multi-stage system testing and trained staff to work in the new environment.
We will analyze current processes, data loss points, and manual operations. We will determine which modules will give the business the greatest effect.
We will conduct a free process audit, identify priority tasks, and propose a clear implementation plan.
No complex jargon or upselling. First — business tasks.
We will contact you to clarify project details.